eBay:iPads:: startprice regression:: ncv7_sp
bdanalytics
Date: (Sun) Aug 02, 2015
Introduction:
Data: Source: Training: https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/download/eBayiPadTrain.csv
New: https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/download/eBayiPadTest.csv
Time period:
Synopsis:
Based on analysis utilizing <> techniques,
Regression results: First run:
Classification results: template: prdline.my == “Unknown” -> 296 Low.cor.X.glm: Leaderboard: 0.83458 newobs_tbl=[N=471, Y=327]; submit_filename=template_Final_glm_submit.csv OOB_conf_mtrx=[YN=125, NY=76]=201; max.Accuracy.OOB=0.7710; opt.prob.threshold.OOB=0.6 startprice=100.00; biddable=95.42; productline=49.22; D.T.like=29.75; D.T.use=26.32; D.T.box=21.53;
prdline: -> Worse than template prdline.my == “Unknown” -> 285 All.X.no.rnorm.rf: Leaderboard: 0.82649 newobs_tbl=[N=485, Y=313]; submit_filename=prdline_Final_rf_submit.csv OOB_conf_mtrx=[YN=119, NY=80]=199; max.Accuracy.OOB=0.8339; opt.prob.threshold.OOB=0.5 startprice=100.00; biddable=84.25; D.sum.TfIdf=7.28; D.T.use=4.26; D.T.veri=2.78; D.T.scratch=1.99; D.T.box=; D.T.like=; Low.cor.X.glm: Leaderboard: 0.81234 newobs_tbl=[N=471, Y=327]; submit_filename=prdline_Low_cor_X_glm_submit.csv OOB_conf_mtrx=[YN=125, NY=74]=199; max.Accuracy.OOB=0.8205; opt.prob.threshold.OOB=0.6 startprice=100.00; biddable=96.07; prdline.my=51.37; D.T.like=29.39; D.T.use=25.43; D.T.box=22.27; D.T.veri=; D.T.scratch=;
oobssmpl: -> Low.cor.X.glm: Leaderboard: 0.83402 newobs_tbl=[N=440, Y=358]; submit_filename=oobsmpl_Final_glm_submit OOB_conf_mtrx=[YN=114, NY=84]=198; max.Accuracy.OOB=0.7780; opt.prob.threshold.OOB=0.5 startprice=100.00; biddable=93.87; prdline.my=60.48; D.sum.TfIdf=; D.T.condition=8.69; D.T.screen=7.96; D.T.use=7.50; D.T.veri=; D.T.scratch=;
category: -> Low.cor.X.glm: Leaderboard: 0.82381 newobs_tbl=[N=470, Y=328]; submit_filename=category_Final_glm_submit OOB_conf_mtrx=[YN=119, NY=57]=176; max.Accuracy.OOB=0.8011; opt.prob.threshold.OOB=0.6 startprice=100.00; biddable=79.19; prdline.my=55.22; D.sum.TfIdf=; D.T.ipad=27.05; D.T.like=21.44; D.T.box=20.67; D.T.condition=; D.T.screen=;
dataclns: -> All.X.no.rnorm.rf: Leaderboard: 0.82211 newobs_tbl=[N=485, Y=313]; submit_filename=dataclns_Final_rf_submit OOB_conf_mtrx=[YN=104, NY=75]=179; max.Accuracy.OOB=0.7977; opt.prob.threshold.OOB=0.5 startprice.log=100.00; biddable=65.85; prdline.my=7.74; D.sum.TfIdf=; D.T.use=2.01; D.T.condition=1.87; D.T.veri=1.62; D.T.ipad=; D.T.like=; Low.cor.X.glm: Leaderboard: 0.79264 newobs_tbl=[N=460, Y=338]; submit_filename=dataclns_Low_cor_X_glm_submit OOB_conf_mtrx=[YN=113, NY=74]=187; max.Accuracy.OOB=0.7977; opt.prob.threshold.OOB=0.5 -> different from prev run of 0.6 biddable=100.00; startprice.log=91.85; prdline.my=38.34; D.sum.TfIdf=; D.T.ipad=29.92; D.T.box=27.76; D.T.work=25.79; D.T.use=; D.T.condition=;
txtterms: -> top_n = c(10) Low.cor.X.glm: Leaderboard: 0.81448 newobs_tbl=[N=442, Y=356]; submit_filename=txtterms_Final_glm_submit OOB_conf_mtrx=[YN=113, NY=69]=182; max.Accuracy.OOB=0.7943; opt.prob.threshold.OOB=0.5 biddable=100.00; startprice.log=90.11; prdline.my=37.65; D.sum.TfIdf=; D.T.ipad=28.67; D.T.work=24.90; D.T.great=21.44; # [1] “D.T.condit” “D.T.condition” “D.T.good” “D.T.ipad” “D.T.new”
# [6] “D.T.scratch” “D.T.screen” “D.T.this” “D.T.use” “D.T.work”
All.X.glm: Leaderboard: 0.81016
newobs_tbl=[N=445, Y=353]; submit_filename=txtterms_Final_glm_submit
OOB_conf_mtrx=[YN=108, NY=72]=180; max.Accuracy.OOB=0.7966;
opt.prob.threshold.OOB=0.5
biddable=100.00; startprice.log=88.24; prdline.my=33.81; D.sum.TfIdf=;
D.T.scratch=25.51; D.T.use=18.97; D.T.good=16.37; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.great” “D.T.excel” “D.T.work” “D.T.ipad”
Max.cor.Y.rpart: Leaderboard: 0.79258
newobs_tbl=[N=439, Y=359]; submit_filename=txtterms_Final_rpart_submit
OOB_conf_mtrx=[YN=105, NY=76]=181; max.Accuracy.OOB=0.7954802;
opt.prob.threshold.OOB=0.5
startprice.log=100; biddable=; prdline.my=; D.sum.TfIdf=;
D.T.scratch=; D.T.use=; D.T.good=; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
All.X.no.rnorm.rf: Leaderboard: 0.80929
newobs_tbl=[N=545, Y=253]; submit_filename=txtterms_Final_rf_submit
OOB_conf_mtrx=[YN=108, NY=61]=169; max.Accuracy.OOB=0.8090395
opt.prob.threshold.OOB=0.5
startprice.log=100.00; biddable=78.82; idseq.my=63.43; prdline.my=45.57;
D.T.use=2.76; D.T.condit=2.35; D.T.scratch=2.00; D.T.good=; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
txtclstr: All.X.no.rnorm.rf: Leaderboard: 0.79363 -> 0.79573 newobs_tbl=[N=537, Y=261]; submit_filename=txtclstr_Final_rf_submit OOB_conf_mtrx=[YN=104, NY=61]=165; max.Accuracy.OOB=0.8135593 opt.prob.threshold.OOB=0.5 startprice.log=100.00; biddable=79.99; idseq.my=64.94; prdline.my=4.14; prdline.my.clusterid=1.15; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
dupobs: All.X.no.rnorm.rf: Leaderboard: 0.79295 newobs_tbl=[N=541, Y=257]; submit_filename=dupobs_Final_rf_submit OOB_conf_mtrx=[YN=114, NY=65]=179; max.Accuracy.OOB=0.7977401 opt.prob.threshold.OOB=0.5 startprice.log=100.00; biddable=94.49; idseq.my=67.40; prdline.my=4.48; prdline.my.clusterid=1.99; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
All.X.no.rnorm.rf: Leaderboard: 0.79652
newobs_tbl=[N=523, Y=275]; submit_filename=dupobs_Final_rf_submit
OOB_conf_mtrx=[YN=114, NY=65]=179; max.Accuracy.OOB=0.7977401
opt.prob.threshold.OOB=0.5
startprice.log=100.00; biddable=94.24; idseq.my=67.92;
prdline.my=4.33; prdline.my.clusterid=2.17; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
csmmdl: All.X.no.rnorm.rf: Leaderboard: 0.79396 newobs_tbl=[N=525, Y=273]; submit_filename=csmmdl_Final_rf_submit OOB_conf_mtrx=[YN=111, NY=66]=177; max.Accuracy.OOB=0.8000000 opt.prob.threshold.OOB=0.5 startprice.log=100.00; biddable=90.30; idseq.my=67.06; prdline.my=4.40; cellular.fctr=3.57; prdline.my.clusterid=2.08;
All.Interact.X.no.rnorm.rf: Leaderboard: 0.77867 newobs_tbl=[N=564, Y=234]; submit_filename=csmmdl_Final_rf_submit OOB_conf_mtrx=[YN=120, NY=53]=173; max.Accuracy.OOB=0.8045198 opt.prob.threshold.OOB=0.5 biddable=100.00; startprice.log=93.99; idseq.my=57.30; prdline.my=9.09; cellular.fctr=3.30; prdline.my.clusterid=2.35;
All.Interact.X.no.rnorm.rf: Leaderboard: 0.77152 newobs_tbl=[N=539, Y=259]; submit_filename=csmmdl_Final_rf_submit OOB_conf_mtrx=[YN=, NY=]=; max.Accuracy.OOB=0.8011299 opt.prob.threshold.OOB=0.5 biddable=100.00; startprice.log=94.93; idseq.my=57.12; prdline.my=9.29; cellular.fctr=3.20; prdline.my.clusterid=2.50; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
All.X.glmnet:
fit_RMSE=???; OOB_RMSE=115.1247; new_RMSE=115.1247;
prdline.my.fctr=100.00; condition.fctrNew=88.53; D.npnct09.log=84.34
biddable=16.48; idseq.my=57.27;spdiff:
All.Interact.X.no.rnorm.rf: Leaderboard: 0.78218 newobs_tbl=[N=517, Y=281]; submit_filename=spdiff_Final_rf_submit OOB_conf_mtrx=[YN=121, NY=38]=159; max.Accuracy.OOB=0.8203390 opt.prob.threshold.OOB=0.6 biddable=100.00; startprice.diff=57.53; idseq.my=41.31; prdline.my=11.43; cellular.fctr=2.36; prdline.my.clusterid=1.82;
All.X.no.rnorm.rf:
fit_RMSE=92.19; OOB_RMSE=130.86; new_RMSE=130.86;
biddable=100.00; prdline.my.fctr=61.92; idseq.my=57.77;
condition.fctr=29.53; storage.fctr=11.22; color.fctr=6.69;
cellular.fctr=6.11
All.X.no.rnorm.rf: Leaderboard: 0.77443
newobs_tbl=[N=606, Y=192]; submit_filename=spdiff_Final_rf_submit
OOB_conf_mtrx=[YN=112, NY=28]=140; max.Accuracy.OOB=0.8418079
opt.prob.threshold.OOB=0.6
startprice.diff=100.00; biddable=96.53; idseq.my=38.10;
prdline.my=3.65; cellular.fctr=2.21; prdline.my.clusterid=0.91; [1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
color: All.Interact.X.glmnet: fit_RMSE=88.64520; prdline.my.fctr:D.TfIdf.sum.stem.stop.Ratio=100.00; prdline.my.fctr:condition.fctr=77.35 D.TfIdf.sum.stem.stop.Ratio=68.18 prdline.my.fctr:color.fctr=68.12 prdline.my.fctr:storage.fctr=63.32
All.X.no.rnorm.rf: Leaderboard: 0.80638
newobs_tbl=[N=550, Y=248]; submit_filename=color_Final_rf_submit
OOB_conf_mtrx=[YN=108, NY=54]=162; max.Accuracy.OOB=0.8169492
opt.prob.threshold.OOB=0.5
biddable=100.00; startprice.diff=77.90; idseq.my=48.49;
D.ratio.sum.TfIdf.nwrds=6.48; storage.fctr=4.74;
D.TfIdf.sum.stem.stop.Ratio=4.57; prdline.my=4.32;[1] “D.T.condit” “D.T.use” “D.T.scratch” “D.T.new” “D.T.good” “D.T.screen” [7] “D.T.ipad” “D.T.great” “D.T.work” “D.T.excel”
assctxt: select_terms: [1] “condit” “use” “scratch” “new” “good” “ipad” “screen” “great”
[9] “work” “excel” “like” “box” “function” “item” “fulli” “minor” [17] “cosmet” “crack” “mint” “wear”
assoc_terms: [1] “bare” “sign” “light” “back” “hous” “tab” “dent”
[8] “brand” “open” “mini” “appl” “air” “wifi” “affect”
[15] “protector” “shape” “perfect” “order” “button” “origin” “retail”
[22] “seal” “includ” “100” “may” “show” “overal” “bodi”
[29] “phone” “will” “damag” “near” “top” “normal” “tear”
[36] “expect” “minim”
glb_allobs_df\(prdline.my\).clusterid Entropy: 0.6665 (97.3037 pct) All.Interact.X.glmnet: fit_RMSE=88.40723; prdline.my.fctr:D.TfIdf.sum.stem.stop.Ratio=100.00; prdline.my.fctriPadAir:D.npnct01.log=79.67748; D.TfIdf.sum.stem.stop.Ratio=79.08192; prdline.my.fctriPadmini 2+:condition.fctrNew other (see details)=78.24020; prdline.my.fctriPad 3+:color.fctrSpace Gray=77.05886; prdline.my.fctriPadmini 2+:storage.fctrUnknown=75.68145; prdline.my.fctrUnknown:.clusterid.fctr3=74.23727;
All.Interact.X.no.rnorm.rf: Leaderboard: 0.72974
newobs_tbl=[N=682, Y=116]; submit_filename=assctxt_Final_rf_submit
OOB_conf_mtrx=[YN=125, NY=43]=168; max.Accuracy.OOB=0.8101695; max.auc.OOB=???;
opt.prob.threshold.OOB=0.6
biddable=100.00; startprice.diff=51.04; idseq.my=29.51;
startprice.diff:biddable=28.70
prdline.my.fctriPadmini:idseq.my=6.89
Highest max.auc.OOB=???; for model: ctgry2: select_terms: 50 assoc_terms: 103 glb_allobs_df\(prdline.my\).clusterid Entropy: 0.6559 (96.7556 pct) All.Interact.X.glmnet: next: All.X.glmnet fit_RMSE=88.80010; prdl.my.descr.fctr:storage.fctr 100.00 prdl.my.descr.fctr:condition.fctr 93.96 prdl.my.descr.fctr:D.npnct01.log 89.94 D.TfIdf.sum.stem.stop.Ratio 75.90 prdl.my.descr.fctr:color.fctr 72.43 prdl.my.descr.fctr:.clusterid.fctr7 63.97 prdl.my.descr.fctr:D.npnct08.log 63.46 prdl.my.descr.fctr 63.05 prdl.my.descr.fctr:D.TfIdf.sum.stem.stop.Ratio 62.91 prdl.my.descr.fctr:D.npnct16.log 62.39
Ensemble.glmnet: Leaderboard: 0.80480
newobs_tbl=[N=473, Y=325]; submit_filename=ctgry2_Final_glmnet_submit
OOB_conf_mtrx=[YN=79, NY=101]=180;
max.Accuracy.OOB=0.7977528; max.auc.OOB=0.8554068; opt.prob.threshold.OOB=0.4
Highest max.auc.OOB=0.8587215; for model:All.X.no.rnorm.rf
biddable 100.000
startprice.diff 71.793
idseq.my 43.511
ensemble: select_terms: 50 assoc_terms: 103 glb_allobs_df\(prdline.my\).clusterid Entropy: 0.6570 (96.9282 pct) Final.glment: min.RMSE.fit=31.45801 Ensemble.glmnet: min.RMSE.fit=30.67172 startprice.predict.All.Interact.X.no.rnorm.rf 100.000 startprice.predict.All.X.no.rnorm.rf 75.381 All.X.glmnet: min.RMSE.fit=88.98066 prdl.my.descr.fctr 100.00 D.TfIdf.sum.stem.stop.Ratio 92.16 condition.fctr 79.01 prdl.my.descr.fctr:.clusterid.fctr5 69.91 D.npnct16.log 61.70 color.fctrWhite 59.42 D.npnct01.log 55.07 cellular.fctr1 53.35 D.terms.n.post.stop 52.92
Ensemble.glmnet: Leaderboard: 0.73183
newobs_tbl=[N=557, Y=241]; submit_filename=ensemble_Final_glmnet_submit
OOB_conf_mtrx=[YN=75, NY=60]=135;
max.Accuracy.OOB=0.8483146; max.auc.OOB=0.9187365; opt.prob.threshold.OOB=0.5sold.fctr.predict.All.X.no.rnorm.rf.prob 100.000000
sold.fctr.predict.All.Interact.X.no.rnorm.rf.prob 98.873608
Highest max.auc.OOB=0.9180131; for model:All.X.no.rnorm.rf
startprice.diff 100.000 biddable 95.318 idseq.my 33.365
ncv7: select_terms: 50 assoc_terms: 103 glb_allobs_df\(prdline.my\).clusterid Entropy: 0.6570 (96.9282 pct) Final.glment: min.RMSE.fit=31.45704 Ensemble.glmnet: min.RMSE.fit=29.93289 startprice.predict.All.Interact.X.no.rnorm.rf 100.000 startprice.predict.All.X.no.rnorm.rf 82.878 startprice.predict.Low.cor.X.lm 42.664
All.Interact.X.glmnet: min.RMSE.fit=87.30181 prdl.my.descr.fctr:D.npnct01.log 100.00 prdl.my.descr.fctr:condition.fctr 99.98 prdl.my.descr.fctr:storage.fctr 96.26 prdl.my.descr.fctriPadAir 79.65 prdl.my.descr.fctr:color.fctr 79.30 prdl.my.descr.fctr:D.TfIdf.sum.stem.stop.Ratio 74.90 D.TfIdf.sum.stem.stop.Ratio 74.77 prdl.my.descr.fctr:D.npnct08.log 67.38 prdl.my.descr.fctr:D.npnct01.log 67.38
Prediction Accuracy Enhancement Options:
- import.data chunk:
- which obs should be in fit vs. OOB (currently dirty.0 vs .1 is split 50%)
- inspect.data chunk:
- For date variables
- Appropriate factors ?
- Different / More last* features ?
- For date variables
- scrub.data chunk:
- transform.data chunk:
- derive features from multiple features
- manage.missing.data chunk:
- Not fill missing vars
- Fill missing numerics with a different algorithm
- Fill missing chars with data based on clusters
- extract.features chunk:
- Text variables: move to date extraction chunk ???
- Mine acronyms
- Mine places
- Text variables: move to date extraction chunk ???
- Review set_global_options chunk after features are finalized
[](.png)
Potential next steps include:
- Organization:
- Categorize by chunk
- Priority criteria:
- Ease of change
- Impacts report
- Cleans innards
- Bug report
- all chunks:
- at chunk-end rm(!glb_)
- manage.missing.data chunk:
- cleaner way to manage re-splitting of training vs. new entity
- extract.features chunk:
- Add n-grams for glb_txt_vars
- “RTextTools”, “tau”, “RWeka”, and “textcat” packages
- Convert user-specified mutate code to config specs
- Add n-grams for glb_txt_vars
- fit.models chunk:
- Prediction accuracy scatter graph:
- Add tiles (raw vs. PCA)
- Use shiny for drop-down of “important” features
Use plot.ly for interactive plots ?
- Change .fit suffix of model metrics to .mdl if it’s data independent (e.g. AIC, Adj.R.Squared - is it truly data independent ?, etc.)
- move model_type parameter to myfit_mdl before indep_vars_vctr (keep all model_* together)
- create a custom model for rpart that has minbucket as a tuning parameter
varImp for randomForest crashes in caret version:6.0.41 -> submit bug report
- Probability handling for multinomials vs. desired binomial outcome
- ROCR currently supports only evaluation of binary classification tasks (version 1.0.7)
extensions toward multiclass classification are scheduled for the next release
- Skip trControl.method=“cv” for dummy classifier ?
- Add custom model to caret for a dummy (baseline) classifier (binomial & multinomial) that generates proba/outcomes which mimics the freq distribution of glb_rsp_var values; Right now glb_dmy_glm_mdl always generates most frequent outcome in training data
glm_dmy_mdl should use the same method as glm_sel_mdl until custom dummy classifer is implemented
- fit.all.training chunk:
- myplot_prediction_classification: displays ‘x’ instead of ‘+’ when there are no prediction errors
- Compare glb_sel_mdl vs. glb_fin_mdl:
- varImp
- Prediction differences (shd be minimal ?)
- Move glb_analytics_diag_plots to mydsutils.R: (+) Easier to debug (-) Too many glb vars used
- Add print(ggplot.petrinet(glb_analytics_pn) + coord_flip()) at the end of every major chunk
- Parameterize glb_analytics_pn
- Move glb_impute_missing_data to mydsutils.R: (-) Too many glb vars used; glb_<>_df reassigned
- Replicate myfit_mdl_classification features in myfit_mdl_regression
- Do non-glm methods handle interaction terms ?
- f-score computation for classifiers should be summation across outcomes (not just the desired one ?)
- Add accuracy computation to glb_dmy_mdl in predict.data.new chunk
- Why does splitting fit.data.training.all chunk into separate chunks add an overhead of ~30 secs ? It’s not rbind b/c other chunks have lower elapsed time. Is it the number of plots ?
- Incorporate code chunks in print_sessionInfo
- Test against
- projects in github.com/bdanalytics
- lectures in jhu-datascience track
Analysis:
rm(list=ls())
set.seed(12345)
options(stringsAsFactors=FALSE)
source("~/Dropbox/datascience/R/myscript.R")
source("~/Dropbox/datascience/R/mydsutils.R")## Loading required package: caret
## Loading required package: lattice
## Loading required package: ggplot2source("~/Dropbox/datascience/R/myplot.R")
source("~/Dropbox/datascience/R/mypetrinet.R")
source("~/Dropbox/datascience/R/myplclust.R")
# Gather all package requirements here
suppressPackageStartupMessages(require(doMC))
registerDoMC(4) # max(length(glb_txt_vars), glb_n_cv_folds) + 1
#packageVersion("tm")
#require(sos); findFn("cosine", maxPages=2, sortby="MaxScore")
# Analysis control global variables
glb_trnng_url <- "https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/download/eBayiPadTrain.csv"
glb_newdt_url <- "https://inclass.kaggle.com/c/15-071x-the-analytics-edge-summer-2015/download/eBayiPadTest.csv"
glb_out_pfx <- "ncv7_sp_"
glb_save_envir <- FALSE # or TRUE
glb_is_separate_newobs_dataset <- TRUE # or TRUE
glb_split_entity_newobs_datasets <- TRUE # or FALSE
glb_split_newdata_method <- "sample" # "condition" or "sample" or "copy"
glb_split_newdata_condition <- NULL # or "is.na(<var>)"; "<var> <condition_operator> <value>"
glb_split_newdata_size_ratio <- 0.3 # > 0 & < 1
glb_split_sample.seed <- 123 # or any integer
glb_max_fitobs <- NULL # or any integer
glb_is_regression <- TRUE; glb_is_classification <- !glb_is_regression;
glb_is_binomial <- TRUE #or FALSE
glb_rsp_var_raw <- "startprice"
# for classification, the response variable has to be a factor
glb_rsp_var <- glb_rsp_var_raw #"sold.fctr"
# if the response factor is based on numbers/logicals e.g (0/1 OR TRUE/FALSE vs. "A"/"B"),
# or contains spaces (e.g. "Not in Labor Force")
# caret predict(..., type="prob") crashes
glb_map_rsp_raw_to_var <- NULL #function(raw) {
# return(log(raw))
# ret_vals <- rep_len(NA, length(raw)); ret_vals[!is.na(raw)] <- ifelse(raw[!is.na(raw)] == 1, "Y", "N"); return(relevel(as.factor(ret_vals), ref="N"))
# #as.factor(paste0("B", raw))
# #as.factor(gsub(" ", "\\.", raw))
# }
# glb_map_rsp_raw_to_var(c(1, 1, 0, 0, NA))
glb_map_rsp_var_to_raw <- NULL #function(var) {
# return(exp(var))
# as.numeric(var) - 1
# #as.numeric(var)
# #gsub("\\.", " ", levels(var)[as.numeric(var)])
# c("<=50K", " >50K")[as.numeric(var)]
# #c(FALSE, TRUE)[as.numeric(var)]
# }
# glb_map_rsp_var_to_raw(glb_map_rsp_raw_to_var(c(1, 1, 0, 0, NA)))
if ((glb_rsp_var != glb_rsp_var_raw) & is.null(glb_map_rsp_raw_to_var))
stop("glb_map_rsp_raw_to_var function expected")
glb_rsp_var_out <- paste0(glb_rsp_var, ".predict.") # model_id is appended later
# List info gathered for various columns
# <col_name>: <description>; <notes>
# description = The text description of the product provided by the seller.
# biddable = Whether this is an auction (biddable=1) or a sale with a fixed price (biddable=0).
# startprice = The start price (in US Dollars) for the auction (if biddable=1) or the sale price (if biddable=0).
# condition = The condition of the product (new, used, etc.)
# cellular = Whether the iPad has cellular connectivity (cellular=1) or not (cellular=0).
# carrier = The cellular carrier for which the iPad is equipped (if cellular=1); listed as "None" if cellular=0.
# color = The color of the iPad.
# storage = The iPad's storage capacity (in gigabytes).
# productline = The name of the product being sold.
# If multiple vars are parts of id, consider concatenating them to create one id var
# If glb_id_var == NULL, ".rownames <- row.names()" is the default
# Derive a numeric feature from id var
glb_id_var <- c("UniqueID")
glb_category_var <- c("prdline.my")
glb_drop_vars <- c(NULL) # or c("<col_name>")
glb_map_vars <- NULL # or c("<var1>", "<var2>")
glb_map_urls <- list();
# glb_map_urls[["<var1>"]] <- "<var1.url>"
glb_assign_pairs_lst <- NULL;
# glb_assign_pairs_lst[["<var1>"]] <- list(from=c(NA),
# to=c("NA.my"))
glb_assign_vars <- names(glb_assign_pairs_lst)
# Derived features
glb_derive_lst <- NULL;
# Add logs of numerics that are not distributed normally -> do automatically ???
glb_derive_lst[["idseq.my"]] <- list(
mapfn=function(UniqueID) { return(UniqueID - 10000) }
, args=c("UniqueID"))
glb_derive_lst[["prdline.my"]] <- list(
mapfn=function(productline) { return(productline) }
, args=c("productline"))
glb_derive_lst[["startprice.log"]] <- list(
mapfn=function(startprice) { return(log(startprice)) }
, args=c("startprice"))
# glb_derive_lst[["startprice.log.zval"]] <- list(
glb_derive_lst[["descr.my"]] <- list(
mapfn=function(description) { mod_raw <- description;
# Modifications for this exercise only
# Add dictionary to stemDocument e.g. stickers stemmed to sticker ???
mod_raw <- gsub("\\.\\.", "\\. ", mod_raw);
mod_raw <- gsub("(\\w)(\\*|,|-|/)(\\w)", "\\1\\2 \\3", mod_raw);
mod_raw <- gsub("8\\.25", "825", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" 10\\.SCREEN ", " 10\\. SCREEN ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" 128 gb ", " 128gb ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" 16G, ", " 16GB, ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" actuuly ", " actual ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Apple care ", " Applecare ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" ans ", " and ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" bacK!wiped ", " bacK ! wiped ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" backplate", " back plate", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("\\bbarley", "barely", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" bend ", " bent ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("Best Buy", "BestBuy", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" black\\.Device ", " black \\. Device ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub("black\\),charger ", "black\\), charger ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" blocks", " blocked", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" brokenCharger ", " broken Charger ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" carefully ", " careful ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" (conditon|condtion|contidion|conditions)", " condition", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub("(CONDITION|ONLY)\\.(\\w)", "\\1\\. \\2", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub("(condition)(Has)", "\\1\\. \\2", mod_raw);
mod_raw <- gsub(" consist ", " consistent ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" cracksNo ", " cracks No ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" DEFAULTING ", " DEFAULT ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" definitely ", " definite ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" described", " describe", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" desciption", " description", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" devices", " device", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Digi\\.", " Digitizer\\.", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" display\\.New ", " display\\. New ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" displays", " display", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" drop ", " dropped ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" effect ", " affect ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Excellant ", " Excellent ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" excellently", " excellent", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" EUC ", " excellent used condition", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" feels ", " feel ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" fineiCloud ", " fine iCloud ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" functioanlity", " functionality", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("^Gentle ", "Gently ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("\\(gray color", "\\(spacegray color", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" GREAT\\.SCreen ", " GREAT\\. SCreen ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" Framing ", " Frame ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("iCL0UD", "iCLOUD", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("^iPad Black 3rd generation ", "iPad 3 Black ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" IMEINo ", " IMEI No ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" install\\. ", " installed\\. ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("inivisible", "invisible", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" manuals ", " manual ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" book ", " manual ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" mars ", " marks ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" marks\\.Absolutely ", " marks\\. Absolutely ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" minimum", " minimal", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" MINT\\.wiped ", " MINT\\. wiped ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" NEW\\!(SCREEN|ONE) ", " NEW\\! \\1 ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" new looking$", " looks new", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" newer ", " new ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" oped ", " opened ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" opening", " opened", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" operated", " operational", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" perfectlycord ", " perfectly cord ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" performance", " performs", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" personalized ", " personal ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" products ", " product ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Keeped ", " Kept ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" knicks ", " nicks ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("^READiPad ", "READ iPad ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" re- assemble ", " reassemble ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" REFURB\\.", " REFURBISHED\\.", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" reponding", " respond", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" rotation ", " rotate ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Sales ", " Sale ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" scratchs ", " scratches ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" SCREEB ", " SCREEN ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" shipped| Shipment", " ship", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("shrink wrap", "shrinkwrap", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" sides ", " side ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" skinned,", " skin,", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("\\bspace (grey|gray)", "spacegray", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" spec ", " speck ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("^somescratches ", "some scratches ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Sticker ", " Stickers ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub("SWAPPA\\.COM", "SWAPPACOM", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" T- Mobile", " TMobile", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" touchscreen ", " touch screen ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" UnlockedCracked ", " Unlocked Cracked ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" uppser ", " upper ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" use\\.Scratches ", " use\\. Scratches ", mod_raw,
ignore.case=TRUE);
mod_raw <- gsub(" verify ", " verified ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" wear\\.Device ", " wear\\. Device ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" whats ", " what's ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" WiFi\\+4G ", " WiFi \\+ 4G ", mod_raw, ignore.case=TRUE);
mod_raw <- gsub(" Zaag Invisible Shield", " Zaag InvisibleShield", mod_raw,
ignore.case=TRUE);
return(mod_raw) }
, args=c("description"))
# mapfn=function(startprice) { return(scale(log(startprice))) }
# , args=c("startprice"))
# mapfn=function(Rasmussen) { return(ifelse(sign(Rasmussen) >= 0, 1, 0)) }
# mapfn=function(PropR) { return(as.factor(ifelse(PropR >= 0.5, "Y", "N"))) }
# mapfn=function(purpose) { return(relevel(as.factor(purpose), ref="all_other")) }
# mapfn=function(Week) { return(substr(Week, 1, 10)) }
# mapfn=function(raw) { tfr_raw <- as.character(cut(raw, 5));
# tfr_raw[is.na(tfr_raw)] <- "NA.my";
# return(as.factor(tfr_raw)) }
# , args=c("raw"))
# mapfn=function(PTS, oppPTS) { return(PTS - oppPTS) }
# , args=c("PTS", "oppPTS"))
# # If glb_allobs_df is not sorted in the desired manner
# mapfn=function(Week) { return(coredata(lag(zoo(orderBy(~Week, glb_allobs_df)$ILI), -2, na.pad=TRUE))) }
# mapfn=function(ILI) { return(coredata(lag(zoo(ILI), -2, na.pad=TRUE))) }
# mapfn=function(ILI.2.lag) { return(log(ILI.2.lag)) }
# glb_derive_lst[["<txt_var>.niso8859.log"]] <- list(
# mapfn=function(<txt_var>) { match_lst <- gregexpr("&#[[:digit:]]{3};", <txt_var>)
# match_num_vctr <- unlist(lapply(match_lst,
# function(elem) length(elem)))
# return(log(1 + match_num_vctr)) }
# , args=c("<txt_var>"))
# mapfn=function(raw) { mod_raw <- raw;
# mod_raw <- gsub("&#[[:digit:]]{3};", " ", mod_raw);
# # Modifications for this exercise only
# mod_raw <- gsub("\\bgoodIn ", "good In", mod_raw);
# return(mod_raw)
# # Create user-specified pattern vectors
# #sum(mycount_pattern_occ("Metropolitan Diary:", glb_allobs_df$Abstract) > 0)
# if (txt_var %in% c("Snippet", "Abstract")) {
# txt_X_df[, paste0(txt_var_pfx, ".P.metropolitan.diary.colon")] <-
# as.integer(0 + mycount_pattern_occ("Metropolitan Diary:",
# glb_allobs_df[, txt_var]))
#summary(glb_allobs_df[ ,grep("P.on.this.day", names(glb_allobs_df), value=TRUE)])
# glb_derive_lst[["<var1>"]] <- glb_derive_lst[["<var2>"]]
glb_derive_vars <- names(glb_derive_lst)
# tst <- "descr.my"; args_lst <- NULL; for (arg in glb_derive_lst[[tst]]$args) args_lst[[arg]] <- glb_allobs_df[, arg]; print(head(args_lst[[arg]])); print(head(drv_vals <- do.call(glb_derive_lst[[tst]]$mapfn, args_lst)));
# print(which_ix <- which(args_lst[[arg]] == 0.75)); print(drv_vals[which_ix]);
glb_date_vars <- NULL # or c("<date_var>")
glb_date_fmts <- list(); #glb_date_fmts[["<date_var>"]] <- "%m/%e/%y"
glb_date_tzs <- list(); #glb_date_tzs[["<date_var>"]] <- "America/New_York"
#grep("America/New", OlsonNames(), value=TRUE)
glb_txt_vars <- c("descr.my")
Sys.setlocale("LC_ALL", "C") # For english## [1] "C/C/C/C/C/en_US.UTF-8"glb_txt_munge_filenames_pfx <- "ebay_mytxt_"
glb_append_stop_words <- list()
# Remember to use unstemmed words
#orderBy(~ -cor.y.abs, subset(glb_feats_df, grepl("[HSA]\\.T\\.", id) & !is.na(cor.high.X)))
glb_append_stop_words[["descr.my"]] <- c(NULL
# freq = 1
# ,"511","825","975"
# ,"2nd"
# ,"a1314","a1430","a1432"
# ,"abused","across","adaptor","add","advised","antenna","anti","anyone","anything"
# ,"applied","applying","area","arizona","att","attached"
# ,"backlight","backlit","beetle","beginning","besides","bidder","binder"
# ,"bonus","boot","bound","brick","broke","bruises","buyers"
# ,"capacity","causing","changed","changing","cherished","chrome","classes","closely"
# ,"confidence","considerable","consumer","contents","control","cream","cuts"
# ,"daily","date","daughter"
# ,"deactivated","decent","deep","defender","defense","degree"
# ,"demonstration","depicted","depress"
# ,"difficulty","disclaimer","discoloration","distressed","divider"
# ,"dlxnqat9g5wt","dock","documents","done","dont","durable","dust","duty"
# ,"either","emblem","erased","ereader","esi","essentially","etch","etched"
# ,"every","exact","exhibition","expires"
# ,"facing","faded","faint","february","film","final","five"
# ,"flickers","folding","forgot","forwarders","freezes","freight"
# ,"games","generic","genuine","glitter","goes","grey","guide"
# ,"half","hairline","handstand","hdmi","high","higher","hold","hole","hospital"
# ,"imie","immaculate","impact"
# ,"instead","intended"
# ,"interest","interior","international","internationally","intro"
# ,"jack","july"
# ,"keeps","keyword","kids","kind","known"
# ,"largest","last","late","length","let","letters","level"
# ,"lifting","limited","line","lining","liquid","liquidation","literally","literature"
# ,"local","logic","long","longer","looping","loose","loss","lost"
# ,"mb292ll","mc707ll","mc916ll","mc991ll","md789ll","mf432ll","mgye2ll"
# ,"mic","middle", "mind","mixed","mostly"
# ,"neither","none","november"
# ,"occasional","oem","often","online","outside"
# ,"padfolio","pairing","paperwork","past"
# ,"period","pet","photograph","piece","played","plug"
# ,"poor","portfolio","portion","pouch"
# ,"preinstalled","pressure","price","proof","provided"
# ,"ranging","rather"
# ,"real","realized","reassemble","reboot","receipt","recently","red"
# ,"reflected","refunds","remote","repeat"
# ,"required","reserve","residue","restarts","result","reviewed"
# ,"ringer","roughly","rubber","running"
# ,"said","school"
# ,"seamlessly","seconds","seem","seen","semi","send","september","serious","setup"
# ,"shell","short","showroom"
# ,"sighs","site","size","sleeve","slice","smoke","smooth","smudge"
# ,"softer","software","somewhat","soon"
# ,"space","sparingly","sparkiling","special","speed","speigen"
# ,"stains","standup","start","status","stopped","strictly"
# ,"subtle","sustained","swappacom","swiped","swivel"
# ,"take","technical","tempered","texture","thank","therefore","think","though"
# ,"toddler","totally","touchy","toys","tried","typical"
# ,"university","unknown","untouched","upgrade"
# ,"valid","vary","version","virtually"
# ,"want","wavy","website","whole","winning","worn","wrapped"
# ,"zaag","zero", "zombie","zoogue"
)
#subset(glb_allobs_df, S.T.newyorktim > 0)[, c("UniqueID", "Snippet", "S.T.newyorktim")]
#glb_txt_lst[["Snippet"]][which(glb_allobs_df$UniqueID %in% c(8394, 8317, 8339, 8350, 8307))]
glb_important_terms <- list()
# Remember to use stemmed terms
glb_txt_cor_var <- "sold" # or glb_rsp_var
glb_txt_filter_terms <- "top.val" # select one from c("top.cor", "top.val", "sparse")
glb_txt_top_n <- c(50)
names(glb_txt_top_n) <- glb_txt_vars
glb_sprs_thresholds <- c(0.950) # Generates 8 terms
# Properties:
# numrows(glb_feats_df) << numrows(glb_fitobs_df)
# Select terms that appear in at least 0.2 * O(FP/FN(glb_OOBobs_df))
# numrows(glb_OOBobs_df) = 1.1 * numrows(glb_newobs_df)
names(glb_sprs_thresholds) <- glb_txt_vars
# User-specified exclusions
glb_exclude_vars_as_features <- c("productline", "description", "startprice"
, "startprice.log", "sold"
, "prdline.my", "prdline.my.fctr"
)
if (glb_rsp_var_raw != glb_rsp_var)
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features,
glb_rsp_var_raw)
# List feats that shd be excluded due to known causation by prediction variable
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features,
c(NULL)) # or c("<col_name>")
glb_impute_na_data <- FALSE # or TRUE
glb_mice_complete.seed <- 144 # or any integer
glb_cluster <- TRUE
glb_cluster.seed <- 189 # or any integer
glb_cluster_entropy_var <- "sold"
glb_interaction_only_features <- NULL # or ???
glb_models_lst <- list(); glb_models_df <- data.frame()
# Regression
if (glb_is_regression)
glb_models_method_vctr <- c("lm", "glm", "bayesglm", "glmnet", "rpart", "rf") else
# Classification
if (glb_is_binomial)
glb_models_method_vctr <- c("glm", "bayesglm", "glmnet", "rpart", "rf") else
glb_models_method_vctr <- c("rpart", "rf")
# Baseline prediction model feature(s)
glb_Baseline_mdl_var <- NULL # or c("<col_name>")
glb_model_metric_terms <- NULL # or matrix(c(
# 0,1,2,3,4,
# 2,0,1,2,3,
# 4,2,0,1,2,
# 6,4,2,0,1,
# 8,6,4,2,0
# ), byrow=TRUE, nrow=5)
glb_model_metric <- NULL # or "<metric_name>"
glb_model_metric_maximize <- NULL # or FALSE (TRUE is not the default for both classification & regression)
glb_model_metric_smmry <- NULL # or function(data, lev=NULL, model=NULL) {
# confusion_mtrx <- t(as.matrix(confusionMatrix(data$pred, data$obs)))
# #print(confusion_mtrx)
# #print(confusion_mtrx * glb_model_metric_terms)
# metric <- sum(confusion_mtrx * glb_model_metric_terms) / nrow(data)
# names(metric) <- glb_model_metric
# return(metric)
# }
glb_tune_models_df <-
rbind(
#data.frame(parameter="cp", min=0.00005, max=0.00005, by=0.000005),
#seq(from=0.01, to=0.01, by=0.01)
#data.frame(parameter="mtry", min=080, max=100, by=10),
#data.frame(parameter="mtry", min=08, max=10, by=1),
data.frame(parameter="dummy", min=2, max=4, by=1)
)
# or NULL
glb_n_cv_folds <- 7 # or NULL
glb_clf_proba_threshold <- NULL # 0.5
# Model selection criteria
if (glb_is_regression)
#glb_model_evl_criteria <- c("min.RMSE.OOB", "max.R.sq.OOB", "max.Adj.R.sq.fit")
glb_model_evl_criteria <- c("min.RMSE.fit", "max.R.sq.fit", "max.Adj.R.sq.fit")
if (glb_is_classification) {
if (glb_is_binomial)
glb_model_evl_criteria <-
c("max.Accuracy.OOB", "max.auc.OOB", "max.Kappa.OOB", "min.aic.fit") else
glb_model_evl_criteria <- c("max.Accuracy.OOB", "max.Kappa.OOB")
}
glb_sel_mdl_id <- "Ensemble.glmnet" #select from c(NULL, "Ensemble.glmnet", "Low.cor.X.glm")
glb_fin_mdl_id <- NULL # select from c(NULL, glb_sel_mdl_id, "Final")
glb_dsp_cols <- c("sold", ".grpid", "color", "condition", "cellular", "carrier", "storage")
# Depict process
glb_analytics_pn <- petrinet(name="glb_analytics_pn",
trans_df=data.frame(id=1:6,
name=c("data.training.all","data.new",
"model.selected","model.final",
"data.training.all.prediction","data.new.prediction"),
x=c( -5,-5,-15,-25,-25,-35),
y=c( -5, 5, 0, 0, -5, 5)
),
places_df=data.frame(id=1:4,
name=c("bgn","fit.data.training.all","predict.data.new","end"),
x=c( -0, -20, -30, -40),
y=c( 0, 0, 0, 0),
M0=c( 3, 0, 0, 0)
),
arcs_df=data.frame(
begin=c("bgn","bgn","bgn",
"data.training.all","model.selected","fit.data.training.all",
"fit.data.training.all","model.final",
"data.new","predict.data.new",
"data.training.all.prediction","data.new.prediction"),
end =c("data.training.all","data.new","model.selected",
"fit.data.training.all","fit.data.training.all","model.final",
"data.training.all.prediction","predict.data.new",
"predict.data.new","data.new.prediction",
"end","end")
))
#print(ggplot.petrinet(glb_analytics_pn))
print(ggplot.petrinet(glb_analytics_pn) + coord_flip())## Loading required package: grid
glb_analytics_avl_objs <- NULL
glb_chunks_df <- myadd_chunk(NULL, "import.data")## label step_major step_minor bgn end elapsed
## 1 import.data 1 0 8.797 NA NAStep 1.0: import data
chunk option: eval=
#glb_chunks_df <- myadd_chunk(NULL, "import.data")
glb_trnobs_df <- myimport_data(url=glb_trnng_url, comment="glb_trnobs_df",
force_header=TRUE)## [1] "Reading file ./data/eBayiPadTrain.csv..."
## [1] "dimensions of data in ./data/eBayiPadTrain.csv: 1,861 rows x 11 cols"
## description
## 1 iPad is in 8.5+ out of 10 cosmetic condition!
## 2 Previously used, please read description. May show signs of use such as scratches to the screen and
## 3
## 4
## 5 Please feel free to buy. All products have been thoroughly inspected, cleaned and tested to be 100%
## 6
## biddable startprice condition cellular carrier color
## 1 0 159.99 Used 0 None Black
## 2 1 0.99 Used 1 Verizon Unknown
## 3 0 199.99 Used 0 None White
## 4 0 235.00 New other (see details) 0 None Unknown
## 5 0 199.99 Seller refurbished Unknown Unknown Unknown
## 6 1 175.00 Used 1 AT&T Space Gray
## storage productline sold UniqueID
## 1 16 iPad 2 0 10001
## 2 16 iPad 2 1 10002
## 3 16 iPad 4 1 10003
## 4 16 iPad mini 2 0 10004
## 5 Unknown Unknown 0 10005
## 6 32 iPad mini 2 1 10006
## description
## 65
## 283 Pristine condition, comes with a case and stylus.
## 948 \211\333\317Used Apple Ipad 16 gig 1st generation in Great working condition and 100% functional.Very little
## 1354
## 1366 Item still in complete working order, minor scratches, normal wear and tear but no damage. screen is
## 1840
## biddable startprice condition cellular carrier color
## 65 0 195.00 Used 0 None Unknown
## 283 1 20.00 Used 0 None Unknown
## 948 0 110.00 Seller refurbished 0 None Black
## 1354 0 300.00 Used 0 None White
## 1366 1 125.00 Used Unknown Unknown Unknown
## 1840 0 249.99 Used 1 Sprint Space Gray
## storage productline sold UniqueID
## 65 16 iPad mini 0 10065
## 283 64 iPad 1 0 10283
## 948 32 iPad 1 0 10948
## 1354 16 iPad Air 1 11354
## 1366 Unknown iPad 1 1 11366
## 1840 16 iPad Air 1 11840
## description
## 1856 Overall item is in good condition and is fully operational and ready to use. Comes with box and
## 1857 Used. Tested. Guaranteed to work. Physical condition grade B+ does have some light scratches and
## 1858 This item is brand new and was never used; however, the box and/or packaging has been opened.
## 1859
## 1860 This unit has minor scratches on case and several small scratches on the display. \nIt is in
## 1861 30 Day Warranty. Fully functional engraved iPad 1st Generation with signs of normal wear which
## biddable startprice condition cellular carrier
## 1856 0 89.50 Used 1 AT&T
## 1857 0 239.95 Used 0 None
## 1858 0 329.99 New other (see details) 0 None
## 1859 0 400.00 New 0 None
## 1860 0 89.00 Seller refurbished 0 None
## 1861 0 119.99 Used 1 AT&T
## color storage productline sold UniqueID
## 1856 Unknown 16 iPad 1 0 11856
## 1857 Black 32 iPad 4 1 11857
## 1858 Space Gray 16 iPad Air 0 11858
## 1859 Gold 16 iPad mini 3 0 11859
## 1860 Black 64 iPad 1 1 11860
## 1861 Black 64 iPad 1 0 11861
## 'data.frame': 1861 obs. of 11 variables:
## $ description: chr "iPad is in 8.5+ out of 10 cosmetic condition!" "Previously used, please read description. May show signs of use such as scratches to the screen and " "" "" ...
## $ biddable : int 0 1 0 0 0 1 1 0 1 1 ...
## $ startprice : num 159.99 0.99 199.99 235 199.99 ...
## $ condition : chr "Used" "Used" "Used" "New other (see details)" ...
## $ cellular : chr "0" "1" "0" "0" ...
## $ carrier : chr "None" "Verizon" "None" "None" ...
## $ color : chr "Black" "Unknown" "White" "Unknown" ...
## $ storage : chr "16" "16" "16" "16" ...
## $ productline: chr "iPad 2" "iPad 2" "iPad 4" "iPad mini 2" ...
## $ sold : int 0 1 1 0 0 1 1 0 1 1 ...
## $ UniqueID : int 10001 10002 10003 10004 10005 10006 10007 10008 10009 10010 ...
## - attr(*, "comment")= chr "glb_trnobs_df"
## NULL# glb_trnobs_df <- read.delim("data/hygiene.txt", header=TRUE, fill=TRUE, sep="\t",
# fileEncoding='iso-8859-1')
# glb_trnobs_df <- read.table("data/hygiene.dat.labels", col.names=c("dirty"),
# na.strings="[none]")
# glb_trnobs_df$review <- readLines("data/hygiene.dat", n =-1)
# comment(glb_trnobs_df) <- "glb_trnobs_df"
# glb_trnobs_df <- data.frame()
# for (symbol in c("Boeing", "CocaCola", "GE", "IBM", "ProcterGamble")) {
# sym_trnobs_df <-
# myimport_data(url=gsub("IBM", symbol, glb_trnng_url), comment="glb_trnobs_df",
# force_header=TRUE)
# sym_trnobs_df$Symbol <- symbol
# glb_trnobs_df <- myrbind_df(glb_trnobs_df, sym_trnobs_df)
# }
# glb_trnobs_df <-
# glb_trnobs_df %>% dplyr::filter(Year >= 1999)
if (glb_is_separate_newobs_dataset) {
glb_newobs_df <- myimport_data(url=glb_newdt_url, comment="glb_newobs_df",
force_header=TRUE)
# To make plots / stats / checks easier in chunk:inspectORexplore.data
glb_allobs_df <- myrbind_df(glb_trnobs_df, glb_newobs_df);
comment(glb_allobs_df) <- "glb_allobs_df"
} else {
glb_allobs_df <- glb_trnobs_df; comment(glb_allobs_df) <- "glb_allobs_df"
if (!glb_split_entity_newobs_datasets) {
stop("Not implemented yet")
glb_newobs_df <- glb_trnobs_df[sample(1:nrow(glb_trnobs_df),
max(2, nrow(glb_trnobs_df) / 1000)),]
} else if (glb_split_newdata_method == "condition") {
glb_newobs_df <- do.call("subset",
list(glb_trnobs_df, parse(text=glb_split_newdata_condition)))
glb_trnobs_df <- do.call("subset",
list(glb_trnobs_df, parse(text=paste0("!(",
glb_split_newdata_condition,
")"))))
} else if (glb_split_newdata_method == "sample") {
require(caTools)
set.seed(glb_split_sample.seed)
split <- sample.split(glb_trnobs_df[, glb_rsp_var_raw],
SplitRatio=(1-glb_split_newdata_size_ratio))
glb_newobs_df <- glb_trnobs_df[!split, ]
glb_trnobs_df <- glb_trnobs_df[split ,]
} else if (glb_split_newdata_method == "copy") {
glb_trnobs_df <- glb_allobs_df
comment(glb_trnobs_df) <- "glb_trnobs_df"
glb_newobs_df <- glb_allobs_df
comment(glb_newobs_df) <- "glb_newobs_df"
} else stop("glb_split_newdata_method should be %in% c('condition', 'sample', 'copy')")
comment(glb_newobs_df) <- "glb_newobs_df"
myprint_df(glb_newobs_df)
str(glb_newobs_df)
if (glb_split_entity_newobs_datasets) {
myprint_df(glb_trnobs_df)
str(glb_trnobs_df)
}
} ## [1] "Reading file ./data/eBayiPadTest.csv..."
## [1] "dimensions of data in ./data/eBayiPadTest.csv: 798 rows x 10 cols"
## description
## 1 like new
## 2 Item is in great shape. I upgraded to the iPad Air 2 and don't need the mini any longer, even though
## 3 This iPad is working and is tested 100%. It runs great. It is in good condition. Cracked digitizer.
## 4
## 5 Grade A condition means that the Ipad is 100% working condition. Cosmetically 8/9 out of 10 - Will
## 6 Brand new factory sealed iPad in an OPEN BOX...THE BOX ITSELF IS HEAVILY DISTRESSED(see
## biddable startprice condition cellular carrier color
## 1 0 105.00 Used 1 AT&T Unknown
## 2 0 195.00 Used 0 None Unknown
## 3 0 219.99 Used 0 None Unknown
## 4 1 100.00 Used 0 None Unknown
## 5 0 210.99 Manufacturer refurbished 0 None Black
## 6 0 514.95 New other (see details) 0 None Gold
## storage productline UniqueID
## 1 32 iPad 1 11862
## 2 16 iPad mini 2 11863
## 3 64 iPad 3 11864
## 4 16 iPad mini 11865
## 5 32 iPad 3 11866
## 6 64 iPad Air 2 11867
## description
## 1 like new
## 142 iPad mini 1st gen wi-fi 16gb is in perfect working order.
## 309 In excellent condition. Minor scratches on the back. Screen in mint condition. Comes in original
## 312 iPad is in Great condition, the screen is in great condition showing only a few minor scratches, the
## 320 Good condition and fully functional
## 369
## biddable startprice condition cellular carrier color storage
## 1 0 105.00 Used 1 AT&T Unknown 32
## 142 1 0.99 Used 0 None Unknown 16
## 309 0 200.00 Used 1 AT&T Black 32
## 312 1 0.99 Used 0 None Unknown 16
## 320 1 60.00 Used 0 None White 16
## 369 1 197.97 Used 0 None Unknown 64
## productline UniqueID
## 1 iPad 1 11862
## 142 iPad mini 12003
## 309 iPad 3 12170
## 312 iPad mini 2 12173
## 320 iPad 1 12181
## 369 iPad mini 3 12230
## description
## 793 Crack on digitizer near top. Top line of digitizer does not respond to touch. Other than that, all
## 794
## 795
## 796
## 797
## 798 Slightly Used. Includes everything you need plus a nice leather case!\nThere is a slice mark on the
## biddable startprice condition cellular carrier color
## 793 0 104.00 For parts or not working 1 Unknown Black
## 794 0 95.00 Used 1 AT&T Unknown
## 795 1 199.99 Manufacturer refurbished 0 None White
## 796 0 149.99 Used 0 None Unknown
## 797 0 7.99 New Unknown Unknown Unknown
## 798 0 139.00 Used 1 Unknown Black
## storage productline UniqueID
## 793 16 iPad 2 12654
## 794 64 iPad 1 12655
## 795 16 iPad 4 12656
## 796 16 iPad 2 12657
## 797 Unknown iPad 3 12658
## 798 32 Unknown 12659
## 'data.frame': 798 obs. of 10 variables:
## $ description: chr "like new" "Item is in great shape. I upgraded to the iPad Air 2 and don't need the mini any longer, even though " "This iPad is working and is tested 100%. It runs great. It is in good condition. Cracked digitizer." "" ...
## $ biddable : int 0 0 0 1 0 0 0 0 0 1 ...
## $ startprice : num 105 195 220 100 211 ...
## $ condition : chr "Used" "Used" "Used" "Used" ...
## $ cellular : chr "1" "0" "0" "0" ...
## $ carrier : chr "AT&T" "None" "None" "None" ...
## $ color : chr "Unknown" "Unknown" "Unknown" "Unknown" ...
## $ storage : chr "32" "16" "64" "16" ...
## $ productline: chr "iPad 1" "iPad mini 2" "iPad 3" "iPad mini" ...
## $ UniqueID : int 11862 11863 11864 11865 11866 11867 11868 11869 11870 11871 ...
## - attr(*, "comment")= chr "glb_newobs_df"
## NULLif ((num_nas <- sum(is.na(glb_trnobs_df[, glb_rsp_var_raw]))) > 0)
stop("glb_trnobs_df$", glb_rsp_var_raw, " contains NAs for ", num_nas, " obs")
if (nrow(glb_trnobs_df) == nrow(glb_allobs_df))
warning("glb_trnobs_df same as glb_allobs_df")
if (nrow(glb_newobs_df) == nrow(glb_allobs_df))
warning("glb_newobs_df same as glb_allobs_df")
if (length(glb_drop_vars) > 0) {
warning("dropping vars: ", paste0(glb_drop_vars, collapse=", "))
glb_allobs_df <- glb_allobs_df[, setdiff(names(glb_allobs_df), glb_drop_vars)]
glb_trnobs_df <- glb_trnobs_df[, setdiff(names(glb_trnobs_df), glb_drop_vars)]
glb_newobs_df <- glb_newobs_df[, setdiff(names(glb_newobs_df), glb_drop_vars)]
}
#stop(here"); sav_allobs_df <- glb_allobs_df # glb_allobs_df <- sav_allobs_df
# Combine trnent & newobs into glb_allobs_df for easier manipulation
glb_trnobs_df$.src <- "Train"; glb_newobs_df$.src <- "Test";
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features, ".src")
glb_allobs_df <- myrbind_df(glb_trnobs_df, glb_newobs_df)
comment(glb_allobs_df) <- "glb_allobs_df"
# Check for duplicates in glb_id_var
if (length(glb_id_var) == 0) {
warning("using .rownames as identifiers for observations")
glb_allobs_df$.rownames <- rownames(glb_allobs_df)
glb_trnobs_df$.rownames <- rownames(subset(glb_allobs_df, .src == "Train"))
glb_newobs_df$.rownames <- rownames(subset(glb_allobs_df, .src == "Test"))
glb_id_var <- ".rownames"
}
if (sum(duplicated(glb_allobs_df[, glb_id_var, FALSE])) > 0)
stop(glb_id_var, " duplicated in glb_allobs_df")
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features, glb_id_var)
glb_allobs_df <- orderBy(reformulate(glb_id_var), glb_allobs_df)
glb_trnobs_df <- glb_newobs_df <- NULL
# For Tableau
write.csv(glb_allobs_df, "data/eBayiPadAll.csv", row.names=FALSE)
#stop(here")
glb_drop_obs <- c(
11234, #sold=0; 2 other dups(10306, 11503) are sold=1
11844, #sold=0; 3 other dups(11721, 11738, 11812) are sold=1
NULL)
glb_allobs_df <- glb_allobs_df[!glb_allobs_df[, glb_id_var] %in% glb_drop_obs, ]
# Make any data corrections here
glb_allobs_df[glb_allobs_df[, glb_id_var] == 10986, "cellular"] <- "1"
glb_allobs_df[glb_allobs_df[, glb_id_var] == 10986, "carrier"] <- "T-Mobile"
# Check for duplicates by all features
require(gdata)## Loading required package: gdata
## gdata: read.xls support for 'XLS' (Excel 97-2004) files ENABLED.
##
## gdata: read.xls support for 'XLSX' (Excel 2007+) files ENABLED.
##
## Attaching package: 'gdata'
##
## The following object is masked from 'package:stats':
##
## nobs
##
## The following object is masked from 'package:utils':
##
## object.size#print(names(glb_allobs_df))
dup_allobs_df <- glb_allobs_df[duplicated2(subset(glb_allobs_df,
select=-c(UniqueID, sold, .src))), ]
dup_allobs_df <- orderBy(~productline+description+startprice+biddable, dup_allobs_df)
print(sprintf("Found %d duplicates by all features:", nrow(dup_allobs_df)))## [1] "Found 304 duplicates by all features:"myprint_df(dup_allobs_df)## description biddable startprice condition cellular
## 1711 1 0.99 For parts or not working Unknown
## 2608 1 0.99 For parts or not working Unknown
## 293 1 5.00 Used Unknown
## 478 1 5.00 Used Unknown
## 385 0 15.00 Used 0
## 390 0 15.00 Used 0
## carrier color storage productline sold UniqueID .src
## 1711 Unknown Unknown 16 Unknown 1 11711 Train
## 2608 Unknown Unknown 16 Unknown NA 12608 Test
## 293 Unknown White 16 Unknown 1 10293 Train
## 478 Unknown White 16 Unknown 1 10478 Train
## 385 None Black 16 Unknown 0 10385 Train
## 390 None Black 16 Unknown 0 10390 Train
## description biddable startprice condition cellular
## 1956 1 0.99 Used 0
## 828 1 249.97 Manufacturer refurbished 1
## 3 0 199.99 Used 0
## 1649 0 209.00 For parts or not working Unknown
## 2111 1 200.00 Used 0
## 172 0 269.00 Used 0
## carrier color storage productline sold UniqueID .src
## 1956 None Unknown 16 iPad 2 NA 11956 Test
## 828 Unknown Black 64 iPad 2 0 10828 Train
## 3 None White 16 iPad 4 1 10003 Train
## 1649 Unknown Unknown 16 iPad Air 0 11649 Train
## 2111 None Space Gray 64 iPad mini 2 NA 12111 Test
## 172 None Unknown 32 iPad mini 2 0 10172 Train
## description biddable startprice condition cellular carrier color
## 8 0 329.99 New 0 None White
## 660 0 329.99 New 0 None White
## 319 0 345.00 New 0 None Gold
## 1886 0 345.00 New 0 None Gold
## 1363 0 498.88 New 1 Verizon Gold
## 1394 0 498.88 New 1 Verizon Gold
## storage productline sold UniqueID .src
## 8 16 iPad mini 3 0 10008 Train
## 660 16 iPad mini 3 0 10660 Train
## 319 16 iPad mini 3 1 10319 Train
## 1886 16 iPad mini 3 NA 11886 Test
## 1363 16 iPad mini 3 0 11363 Train
## 1394 16 iPad mini 3 0 11394 Train# print(dup_allobs_df[, c(glb_id_var, glb_rsp_var_raw,
# "description", "startprice", "biddable")])
# write.csv(dup_allobs_df[, c("UniqueID"), FALSE], "ebayipads_dups.csv", row.names=FALSE)
dupobs_df <- tidyr::unite(dup_allobs_df, "allfeats", -c(sold, UniqueID, .src), sep="#")
# dupobs_df <- dplyr::group_by(dupobs_df, allfeats)
# dupobs_df <- dupobs_df[, "UniqueID", FALSE]
# dupobs_df <- ungroup(dupobs_df)
#
# dupobs_df$.rownames <- row.names(dupobs_df)
grpobs_df <- data.frame(allfeats=unique(dupobs_df[, "allfeats"]))
grpobs_df$.grpid <- row.names(grpobs_df)
dupobs_df <- merge(dupobs_df, grpobs_df)
# dupobs_tbl <- table(dupobs_df$.grpid)
# print(max(dupobs_tbl))
# print(dupobs_tbl[which.max(dupobs_tbl)])
# print(dupobs_df[dupobs_df$.grpid == names(dupobs_tbl[which.max(dupobs_tbl)]), ])
# print(dupobs_df[dupobs_df$.grpid == 106, ])
# for (grpid in c(9, 17, 31, 36, 53))
# print(dupobs_df[dupobs_df$.grpid == grpid, ])
dupgrps_df <- as.data.frame(table(dupobs_df$.grpid, dupobs_df$sold, useNA="ifany"))
names(dupgrps_df)[c(1,2)] <- c(".grpid", "sold")
dupgrps_df$.grpid <- as.numeric(as.character(dupgrps_df$.grpid))
dupgrps_df <- tidyr::spread(dupgrps_df, sold, Freq)
names(dupgrps_df)[-1] <- paste("sold", names(dupgrps_df)[-1], sep=".")
dupgrps_df$.freq <- sapply(1:nrow(dupgrps_df), function(row) sum(dupgrps_df[row, -1]))
myprint_df(orderBy(~-.freq, dupgrps_df))## .grpid sold.0 sold.1 sold.NA .freq
## 40 40 0 6 3 9
## 106 106 0 4 1 5
## 9 9 0 1 3 4
## 17 17 0 3 1 4
## 36 36 0 3 1 4
## 53 53 0 2 2 4
## .grpid sold.0 sold.1 sold.NA .freq
## 10 10 0 2 0 2
## 42 42 0 1 1 2
## 57 57 1 0 1 2
## 66 66 1 0 1 2
## 91 91 0 1 1 2
## 101 101 0 1 1 2
## .grpid sold.0 sold.1 sold.NA .freq
## 130 130 1 0 1 2
## 131 131 1 1 0 2
## 132 132 0 1 1 2
## 133 133 2 0 0 2
## 134 134 0 1 1 2
## 135 135 2 0 0 2print("sold Conflicts:")## [1] "sold Conflicts:"print(subset(dupgrps_df, (sold.0 > 0) & (sold.1 > 0)))## .grpid sold.0 sold.1 sold.NA .freq
## 4 4 1 1 0 2
## 22 22 1 1 0 2
## 23 23 1 1 0 2
## 74 74 1 1 0 2
## 83 83 1 1 0 2
## 84 84 1 1 0 2
## 95 95 1 1 0 2
## 102 102 1 1 0 2
## 109 109 1 1 0 2
## 111 111 1 1 0 2
## 122 122 1 1 0 2
## 131 131 1 1 0 2#dupobs_df[dupobs_df$.grpid == 4, ]
if (nrow(subset(dupgrps_df, (sold.0 > 0) & (sold.1 > 0) & (sold.0 != sold.1))) > 0)
stop("Duplicate conflicts are resolvable")
print("Test & Train Groups:")## [1] "Test & Train Groups:"print(subset(dupgrps_df, (sold.NA > 0)))## .grpid sold.0 sold.1 sold.NA .freq
## 1 1 0 1 1 2
## 5 5 1 0 1 2
## 7 7 0 0 2 2
## 8 8 1 0 1 2
## 9 9 0 1 3 4
## 12 12 0 0 2 2
## 14 14 0 1 1 2
## 15 15 0 0 2 2
## 17 17 0 3 1 4
## 18 18 0 2 1 3
## 19 19 0 2 1 3
## 24 24 0 2 1 3
## 26 26 1 0 1 2
## 28 28 1 0 1 2
## 30 30 0 1 1 2
## 32 32 0 0 2 2
## 33 33 0 1 1 2
## 35 35 0 2 1 3
## 36 36 0 3 1 4
## 37 37 0 0 2 2
## 38 38 0 1 1 2
## 40 40 0 6 3 9
## 41 41 0 0 2 2
## 42 42 0 1 1 2
## 43 43 0 1 1 2
## 44 44 0 2 1 3
## 47 47 0 1 1 2
## 48 48 0 0 2 2
## 49 49 0 1 2 3
## 51 51 0 1 1 2
## 53 53 0 2 2 4
## 54 54 0 1 1 2
## 55 55 1 0 2 3
## 56 56 1 0 1 2
## 57 57 1 0 1 2
## 58 58 0 0 2 2
## 59 59 1 0 1 2
## 60 60 1 0 1 2
## 63 63 0 1 1 2
## 66 66 1 0 1 2
## 67 67 1 0 1 2
## 68 68 0 0 2 2
## 69 69 1 0 1 2
## 73 73 0 1 1 2
## 76 76 0 2 1 3
## 86 86 0 0 2 2
## 87 87 1 0 1 2
## 89 89 1 0 1 2
## 90 90 0 0 2 2
## 91 91 0 1 1 2
## 93 93 0 1 1 2
## 94 94 1 0 1 2
## 99 99 0 1 1 2
## 101 101 0 1 1 2
## 103 103 0 1 1 2
## 104 104 1 0 1 2
## 106 106 0 4 1 5
## 107 107 0 1 1 2
## 108 108 0 1 1 2
## 112 112 1 0 1 2
## 114 114 0 1 1 2
## 115 115 0 1 1 2
## 116 116 1 0 1 2
## 117 117 0 2 1 3
## 118 118 0 1 1 2
## 121 121 1 0 1 2
## 124 124 1 0 1 2
## 128 128 0 1 1 2
## 130 130 1 0 1 2
## 132 132 0 1 1 2
## 134 134 0 1 1 2glb_allobs_df <- merge(glb_allobs_df, dupobs_df[, c(glb_id_var, ".grpid")],
by=glb_id_var, all.x=TRUE)
glb_exclude_vars_as_features <- c(".grpid", glb_exclude_vars_as_features)
# !_sp
# spd_allobs_df <- read.csv(paste0(glb_out_pfx, "sp_predict.csv"))
# if (nrow(spd_allobs_df) != nrow(glb_allobs_df))
# stop("mismatches between spd_allobs_df & glb_allobs_df")
# mrg_allobs_df <- merge(glb_allobs_df, spd_allobs_df)
# if (nrow(mrg_allobs_df) != nrow(glb_allobs_df))
# stop("mismatches between mrg_allobs_df & glb_allobs_df")
# mrg_allobs_df$startprice.diff <- mrg_allobs_df$startprice -
# mrg_allobs_df$startprice.predict.
# print(myplot_scatter(mrg_allobs_df, "startprice", "startprice.diff",
# colorcol_name = "biddable"))
# print(myplot_histogram(mrg_allobs_df, "startprice.diff",
# fill_col_name = "biddable"))
# glb_allobs_df <- mrg_allobs_df
# glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features,
# "startprice.log", "startprice.predict.")
###
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
# Only for _sp
print(table(glb_allobs_df$sold, glb_allobs_df$.src, useNA = "ifany"))##
## Test Train
## 0 0 999
## 1 0 860
## <NA> 798 0print(table(glb_allobs_df$sold, glb_allobs_df$biddable, glb_allobs_df$.src,
useNA = "ifany"))## , , = Test
##
##
## 0 1
## 0 0 0
## 1 0 0
## <NA> 422 376
##
## , , = Train
##
##
## 0 1
## 0 802 197
## 1 220 640
## <NA> 0 0glb_allobs_df$.src <- "Test"
glb_allobs_df[!is.na(glb_allobs_df$sold) & (glb_allobs_df$sold == 1), ".src"] <- "Train"
print(table(glb_allobs_df$sold, glb_allobs_df$.src, useNA = "ifany"))##
## Test Train
## 0 999 0
## 1 0 860
## <NA> 798 0print(table(glb_allobs_df$sold, glb_allobs_df$biddable, glb_allobs_df$.src,
useNA = "ifany"))## , , = Test
##
##
## 0 1
## 0 802 197
## 1 0 0
## <NA> 422 376
##
## , , = Train
##
##
## 0 1
## 0 0 0
## 1 220 640
## <NA> 0 0###
glb_chunks_df <- myadd_chunk(glb_chunks_df, "inspect.data", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 1 import.data 1 0 8.797 12.069 3.272
## 2 inspect.data 2 0 12.070 NA NAStep 2.0: inspect data
#print(str(glb_allobs_df))
#View(glb_allobs_df)
dsp_class_dstrb <- function(var) {
xtab_df <- mycreate_xtab_df(glb_allobs_df, c(".src", var))
rownames(xtab_df) <- xtab_df$.src
xtab_df <- subset(xtab_df, select=-.src)
print(xtab_df)
print(xtab_df / rowSums(xtab_df, na.rm=TRUE))
}
# Performed repeatedly in other chunks
glb_chk_data <- function() {
# Histogram of predictor in glb_trnobs_df & glb_newobs_df
print(myplot_histogram(glb_allobs_df, glb_rsp_var_raw) + facet_wrap(~ .src))
if (glb_is_classification)
dsp_class_dstrb(var=ifelse(glb_rsp_var %in% names(glb_allobs_df),
glb_rsp_var, glb_rsp_var_raw))
mycheck_problem_data(glb_allobs_df)
}
glb_chk_data()## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
## [1] "numeric data missing in : "
## sold
## 798
## [1] "numeric data w/ 0s in : "
## biddable sold
## 1444 999
## [1] "numeric data w/ Infs in : "
## named integer(0)
## [1] "numeric data w/ NaNs in : "
## named integer(0)
## [1] "string data missing in : "
## description condition cellular carrier color storage
## 1520 0 0 0 0 0
## productline .grpid
## 0 NA# Create new features that help diagnostics
if (!is.null(glb_map_rsp_raw_to_var)) {
glb_allobs_df[, glb_rsp_var] <-
glb_map_rsp_raw_to_var(glb_allobs_df[, glb_rsp_var_raw])
mycheck_map_results(mapd_df=glb_allobs_df,
from_col_name=glb_rsp_var_raw, to_col_name=glb_rsp_var)
if (glb_is_classification) dsp_class_dstrb(glb_rsp_var)
}
# check distribution of all numeric data
dsp_numeric_feats_dstrb <- function(feats_vctr) {
for (feat in feats_vctr) {
print(sprintf("feat: %s", feat))
if (glb_is_regression)
gp <- myplot_scatter(df=glb_allobs_df, ycol_name=glb_rsp_var, xcol_name=feat,
smooth=TRUE)
if (glb_is_classification)
gp <- myplot_box(df=glb_allobs_df, ycol_names=feat, xcol_name=glb_rsp_var)
if (inherits(glb_allobs_df[, feat], "factor"))
gp <- gp + facet_wrap(reformulate(feat))
print(gp)
}
}
# dsp_numeric_vars_dstrb(setdiff(names(glb_allobs_df),
# union(myfind_chr_cols_df(glb_allobs_df),
# c(glb_rsp_var_raw, glb_rsp_var))))
add_new_diag_feats <- function(obs_df, ref_df=glb_allobs_df) {
require(plyr)
set.seed(169)
obs_df <- mutate(obs_df,
# <col_name>.NA=is.na(<col_name>),
# <col_name>.fctr=factor(<col_name>,
# as.factor(union(obs_df$<col_name>, obs_twin_df$<col_name>))),
# <col_name>.fctr=relevel(factor(<col_name>,
# as.factor(union(obs_df$<col_name>, obs_twin_df$<col_name>))),
# "<ref_val>"),
# <col2_name>.fctr=relevel(factor(ifelse(<col1_name> == <val>, "<oth_val>", "<ref_val>")),
# as.factor(c("R", "<ref_val>")),
# ref="<ref_val>"),
# This doesn't work - use sapply instead
# <col_name>.fctr_num=grep(<col_name>, levels(<col_name>.fctr)),
#
# Date.my=as.Date(strptime(Date, "%m/%d/%y %H:%M")),
# Year=year(Date.my),
# Month=months(Date.my),
# Weekday=weekdays(Date.my)
# <col_name>=<table>[as.character(<col2_name>)],
# <col_name>=as.numeric(<col2_name>),
# <col_name> = trunc(<col2_name> / 100),
.rnorm = rnorm(n=nrow(obs_df))
)
# If levels of a factor are different across obs_df & glb_newobs_df; predict.glm fails
# Transformations not handled by mutate
# obs_df$<col_name>.fctr.num <- sapply(1:nrow(obs_df),
# function(row_ix) grep(obs_df[row_ix, "<col_name>"],
# levels(obs_df[row_ix, "<col_name>.fctr"])))
#print(summary(obs_df))
#print(sapply(names(obs_df), function(col) sum(is.na(obs_df[, col]))))
return(obs_df)
}
glb_allobs_df <- add_new_diag_feats(glb_allobs_df)## Loading required package: plyrrequire(dplyr)## Loading required package: dplyr
##
## Attaching package: 'dplyr'
##
## The following objects are masked from 'package:plyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
##
## The following objects are masked from 'package:gdata':
##
## combine, first, last
##
## The following objects are masked from 'package:stats':
##
## filter, lag
##
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union#stop(here"); sav_allobs_df <- glb_allobs_df # glb_allobs_df <- sav_allobs_df
# Merge some <descriptor>
# glb_allobs_df$<descriptor>.my <- glb_allobs_df$<descriptor>
# glb_allobs_df[grepl("\\bAIRPORT\\b", glb_allobs_df$<descriptor>.my),
# "<descriptor>.my"] <- "AIRPORT"
# glb_allobs_df$<descriptor>.my <-
# plyr::revalue(glb_allobs_df$<descriptor>.my, c(
# "ABANDONED BUILDING" = "OTHER",
# "##" = "##"
# ))
# print(<descriptor>_freq_df <- mycreate_sqlxtab_df(glb_allobs_df, c("<descriptor>.my")))
# # print(dplyr::filter(<descriptor>_freq_df, grepl("(MEDICAL|DENTAL|OFFICE)", <descriptor>.my)))
# # print(dplyr::filter(dplyr::select(glb_allobs_df, -<var.zoo>),
# # grepl("STORE", <descriptor>.my)))
# glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features, "<descriptor>")
# Check distributions of newly transformed / extracted vars
# Enhancement: remove vars that were displayed ealier
dsp_numeric_feats_dstrb(feats_vctr=setdiff(names(glb_allobs_df),
c(myfind_chr_cols_df(glb_allobs_df), glb_rsp_var_raw, glb_rsp_var,
glb_exclude_vars_as_features)))## [1] "feat: biddable"## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## [1] "feat: .rnorm"## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
# Convert factors to dummy variables
# Build splines require(splines); bsBasis <- bs(training$age, df=3)
#pairs(subset(glb_trnobs_df, select=-c(col_symbol)))
# Check for glb_newobs_df & glb_trnobs_df features range mismatches
# Other diagnostics:
# print(subset(glb_trnobs_df, <col1_name> == max(glb_trnobs_df$<col1_name>, na.rm=TRUE) &
# <col2_name> <= mean(glb_trnobs_df$<col1_name>, na.rm=TRUE)))
# print(glb_trnobs_df[which.max(glb_trnobs_df$<col_name>),])
# print(<col_name>_freq_glb_trnobs_df <- mycreate_tbl_df(glb_trnobs_df, "<col_name>"))
# print(which.min(table(glb_trnobs_df$<col_name>)))
# print(which.max(table(glb_trnobs_df$<col_name>)))
# print(which.max(table(glb_trnobs_df$<col1_name>, glb_trnobs_df$<col2_name>)[, 2]))
# print(table(glb_trnobs_df$<col1_name>, glb_trnobs_df$<col2_name>))
# print(table(is.na(glb_trnobs_df$<col1_name>), glb_trnobs_df$<col2_name>))
# print(table(sign(glb_trnobs_df$<col1_name>), glb_trnobs_df$<col2_name>))
# print(mycreate_xtab_df(glb_trnobs_df, <col1_name>))
# print(mycreate_xtab_df(glb_trnobs_df, c(<col1_name>, <col2_name>)))
# print(<col1_name>_<col2_name>_xtab_glb_trnobs_df <-
# mycreate_xtab_df(glb_trnobs_df, c("<col1_name>", "<col2_name>")))
# <col1_name>_<col2_name>_xtab_glb_trnobs_df[is.na(<col1_name>_<col2_name>_xtab_glb_trnobs_df)] <- 0
# print(<col1_name>_<col2_name>_xtab_glb_trnobs_df <-
# mutate(<col1_name>_<col2_name>_xtab_glb_trnobs_df,
# <col3_name>=(<col1_name> * 1.0) / (<col1_name> + <col2_name>)))
# print(mycreate_sqlxtab_df(glb_allobs_df, c("<col1_name>", "<col2_name>")))
# print(<col2_name>_min_entity_arr <-
# sort(tapply(glb_trnobs_df$<col1_name>, glb_trnobs_df$<col2_name>, min, na.rm=TRUE)))
# print(<col1_name>_na_by_<col2_name>_arr <-
# sort(tapply(glb_trnobs_df$<col1_name>.NA, glb_trnobs_df$<col2_name>, mean, na.rm=TRUE)))
# Other plots:
# print(myplot_box(df=glb_trnobs_df, ycol_names="<col1_name>"))
# print(myplot_box(df=glb_trnobs_df, ycol_names="<col1_name>", xcol_name="<col2_name>"))
# print(myplot_line(subset(glb_trnobs_df, Symbol %in% c("CocaCola", "ProcterGamble")),
# "Date.POSIX", "StockPrice", facet_row_colnames="Symbol") +
# geom_vline(xintercept=as.numeric(as.POSIXlt("2003-03-01"))) +
# geom_vline(xintercept=as.numeric(as.POSIXlt("1983-01-01")))
# )
# print(myplot_line(subset(glb_trnobs_df, Date.POSIX > as.POSIXct("2004-01-01")),
# "Date.POSIX", "StockPrice") +
# geom_line(aes(color=Symbol)) +
# coord_cartesian(xlim=c(as.POSIXct("1990-01-01"),
# as.POSIXct("2000-01-01"))) +
# coord_cartesian(ylim=c(0, 250)) +
# geom_vline(xintercept=as.numeric(as.POSIXlt("1997-09-01"))) +
# geom_vline(xintercept=as.numeric(as.POSIXlt("1997-11-01")))
# )
# print(myplot_scatter(glb_allobs_df, "<col1_name>", "<col2_name>", smooth=TRUE))
# print(myplot_scatter(glb_allobs_df, "<col1_name>", "<col2_name>", colorcol_name="<Pred.fctr>") +
# geom_point(data=subset(glb_allobs_df, <condition>),
# mapping=aes(x=<x_var>, y=<y_var>), color="red", shape=4, size=5) +
# geom_vline(xintercept=84))
glb_chunks_df <- myadd_chunk(glb_chunks_df, "scrub.data", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 2 inspect.data 2 0 12.070 14.152 2.082
## 3 scrub.data 2 1 14.152 NA NAStep 2.1: scrub data
mycheck_problem_data(glb_allobs_df)## [1] "numeric data missing in : "
## sold
## 798
## [1] "numeric data w/ 0s in : "
## biddable sold
## 1444 999
## [1] "numeric data w/ Infs in : "
## named integer(0)
## [1] "numeric data w/ NaNs in : "
## named integer(0)
## [1] "string data missing in : "
## description condition cellular carrier color storage
## 1520 0 0 0 0 0
## productline .grpid
## 0 NAfindOffendingCharacter <- function(x, maxStringLength=256){
print(x)
for (c in 1:maxStringLength){
offendingChar <- substr(x,c,c)
#print(offendingChar) #uncomment if you want the indiv characters printed
#the next character is the offending multibyte Character
}
}
# string_vector <- c("test", "Se\x96ora", "works fine")
# lapply(string_vector, findOffendingCharacter)
# lapply(glb_allobs_df$description[29], findOffendingCharacter)
dsp_hdlxtab <- function(str)
print(mycreate_sqlxtab_df(glb_allobs_df[sel_obs(Headline.contains=str), ],
c("Headline.pfx", "Headline", glb_rsp_var)))
#dsp_hdlxtab("(1914)|(1939)")
dsp_catxtab <- function(str)
print(mycreate_sqlxtab_df(glb_allobs_df[sel_obs(Headline.contains=str), ],
c("Headline.pfx", "NewsDesk", "SectionName", "SubsectionName", glb_rsp_var)))
# dsp_catxtab("1914)|(1939)")
# dsp_catxtab("19(14|39|64):")
# dsp_catxtab("19..:")
# Merge some categories
# glb_allobs_df$myCategory <-
# plyr::revalue(glb_allobs_df$myCategory, c(
# "#Business Day#Dealbook" = "Business#Business Day#Dealbook",
# "#Business Day#Small Business" = "Business#Business Day#Small Business",
# "dummy" = "dummy"
# ))
# ctgry_xtab_df <- orderBy(reformulate(c("-", ".n")),
# mycreate_sqlxtab_df(glb_allobs_df,
# c("myCategory", "NewsDesk", "SectionName", "SubsectionName", glb_rsp_var)))
# myprint_df(ctgry_xtab_df)
# write.table(ctgry_xtab_df, paste0(glb_out_pfx, "ctgry_xtab.csv"),
# row.names=FALSE)
# ctgry_cast_df <- orderBy(~ -Y -NA, dcast(ctgry_xtab_df,
# myCategory + NewsDesk + SectionName + SubsectionName ~
# Popular.fctr, sum, value.var=".n"))
# myprint_df(ctgry_cast_df)
# write.table(ctgry_cast_df, paste0(glb_out_pfx, "ctgry_cast.csv"),
# row.names=FALSE)
# print(ctgry_sum_tbl <- table(glb_allobs_df$myCategory, glb_allobs_df[, glb_rsp_var],
# useNA="ifany"))
dsp_chisq.test <- function(...) {
sel_df <- glb_allobs_df[sel_obs(...) &
!is.na(glb_allobs_df$Popular), ]
sel_df$.marker <- 1
ref_df <- glb_allobs_df[!is.na(glb_allobs_df$Popular), ]
mrg_df <- merge(ref_df[, c(glb_id_var, "Popular")],
sel_df[, c(glb_id_var, ".marker")], all.x=TRUE)
mrg_df[is.na(mrg_df)] <- 0
print(mrg_tbl <- table(mrg_df$.marker, mrg_df$Popular))
print("Rows:Selected; Cols:Popular")
#print(mrg_tbl)
print(chisq.test(mrg_tbl))
}
# dsp_chisq.test(Headline.contains="[Ee]bola")
# dsp_chisq.test(Snippet.contains="[Ee]bola")
# dsp_chisq.test(Abstract.contains="[Ee]bola")
# print(mycreate_sqlxtab_df(glb_allobs_df[sel_obs(Headline.contains="[Ee]bola"), ],
# c(glb_rsp_var, "NewsDesk", "SectionName", "SubsectionName")))
# print(table(glb_allobs_df$NewsDesk, glb_allobs_df$SectionName))
# print(table(glb_allobs_df$SectionName, glb_allobs_df$SubsectionName))
# print(table(glb_allobs_df$NewsDesk, glb_allobs_df$SectionName, glb_allobs_df$SubsectionName))
# glb_allobs_df$myCategory.fctr <- as.factor(glb_allobs_df$myCategory)
# glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features,
# c("myCategory", "NewsDesk", "SectionName", "SubsectionName"))
print(table(glb_allobs_df$cellular, glb_allobs_df$carrier, useNA="ifany"))##
## AT&T None Other Sprint T-Mobile Unknown Verizon
## 0 0 1593 0 0 0 0 0
## 1 288 0 4 36 28 172 196
## Unknown 4 4 2 0 0 330 0# glb_allobs_df[(glb_allobs_df$cellular %in% c("Unknown")) &
# (glb_allobs_df$carrier %in% c("AT&T", "Other")),
# c(glb_id_var, glb_rsp_var_raw, "description", "carrier", "cellular")]
glb_allobs_df[(glb_allobs_df$cellular %in% c("Unknown")) &
(glb_allobs_df$carrier %in% c("AT&T", "Other")),
"cellular"] <- "1"
# glb_allobs_df[(glb_allobs_df$cellular %in% c("Unknown")) &
# (glb_allobs_df$carrier %in% c("None")),
# c(glb_id_var, glb_rsp_var_raw, "description", "carrier", "cellular")]
glb_allobs_df[(glb_allobs_df$cellular %in% c("Unknown")) &
(glb_allobs_df$carrier %in% c("None")),
"cellular"] <- "0"
print(table(glb_allobs_df$cellular, glb_allobs_df$carrier, useNA="ifany"))##
## AT&T None Other Sprint T-Mobile Unknown Verizon
## 0 0 1597 0 0 0 0 0
## 1 292 0 6 36 28 172 196
## Unknown 0 0 0 0 0 330 0Step 2.1: scrub data
glb_chunks_df <- myadd_chunk(glb_chunks_df, "transform.data", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 3 scrub.data 2 1 14.152 14.797 0.645
## 4 transform.data 2 2 14.797 NA NA### Mapping dictionary
#sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
if (!is.null(glb_map_vars)) {
for (feat in glb_map_vars) {
map_df <- myimport_data(url=glb_map_urls[[feat]],
comment="map_df",
print_diagn=TRUE)
glb_allobs_df <- mymap_codes(glb_allobs_df, feat, names(map_df)[2],
map_df, map_join_col_name=names(map_df)[1],
map_tgt_col_name=names(map_df)[2])
}
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features, glb_map_vars)
}
### Forced Assignments
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
for (feat in glb_assign_vars) {
new_feat <- paste0(feat, ".my")
print(sprintf("Forced Assignments for: %s -> %s...", feat, new_feat))
glb_allobs_df[, new_feat] <- glb_allobs_df[, feat]
pairs <- glb_assign_pairs_lst[[feat]]
for (pair_ix in 1:length(pairs$from)) {
if (is.na(pairs$from[pair_ix]))
nobs <- nrow(filter(glb_allobs_df,
is.na(eval(parse(text=feat),
envir=glb_allobs_df)))) else
nobs <- sum(glb_allobs_df[, feat] == pairs$from[pair_ix])
#nobs <- nrow(filter(glb_allobs_df, is.na(Married.fctr))) ; print(nobs)
if ((is.na(pairs$from[pair_ix])) && (is.na(pairs$to[pair_ix])))
stop("what are you trying to do ???")
if (is.na(pairs$from[pair_ix]))
glb_allobs_df[is.na(glb_allobs_df[, feat]), new_feat] <-
pairs$to[pair_ix] else
glb_allobs_df[glb_allobs_df[, feat] == pairs$from[pair_ix], new_feat] <-
pairs$to[pair_ix]
print(sprintf(" %s -> %s for %s obs",
pairs$from[pair_ix], pairs$to[pair_ix], format(nobs, big.mark=",")))
}
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features, glb_assign_vars)
}
### Derivations using mapping functions
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
for (new_feat in glb_derive_vars) {
print(sprintf("Creating new feature: %s...", new_feat))
args_lst <- NULL
for (arg in glb_derive_lst[[new_feat]]$args)
args_lst[[arg]] <- glb_allobs_df[, arg]
glb_allobs_df[, new_feat] <- do.call(glb_derive_lst[[new_feat]]$mapfn, args_lst)
}## [1] "Creating new feature: idseq.my..."
## [1] "Creating new feature: prdline.my..."
## [1] "Creating new feature: startprice.log..."
## [1] "Creating new feature: descr.my..."#stop(here")
#hex_vctr <- c("\n", "\211", "\235", "\317", "\333")
hex_regex <- paste0(c("\n", "\211", "\235", "\317", "\333"), collapse="|")
for (obs_id in c(10029, 10948, 10136, 10178, 11514, 11904, 12157, 12210, 12659)) {
# tmp_str <- unlist(strsplit(glb_allobs_df[row_pos, "descr.my"], ""))
# glb_allobs_df[row_pos, "descr.my"] <- paste0(tmp_str[!tmp_str %in% hex_vctr],
# collapse="")
row_pos <- which(glb_allobs_df$UniqueID == obs_id)
glb_allobs_df[row_pos, "descr.my"] <-
gsub(hex_regex, " ", glb_allobs_df[row_pos, "descr.my"])
}Step 2.2: transform data
#```{r extract_features, cache=FALSE, eval=!is.null(glb_txt_vars)}
glb_chunks_df <- myadd_chunk(glb_chunks_df, "extract.features", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 4 transform.data 2 2 14.797 15.393 0.596
## 5 extract.features 3 0 15.394 NA NAextract.features_chunk_df <- myadd_chunk(NULL, "extract.features_bgn")## label step_major step_minor bgn end elapsed
## 1 extract.features_bgn 1 0 15.399 NA NA# Options:
# Select Tf, log(1 + Tf), Tf-IDF or BM25Tf-IDf
# Create new features that help prediction
# <col_name>.lag.2 <- lag(zoo(glb_trnobs_df$<col_name>), -2, na.pad=TRUE)
# glb_trnobs_df[, "<col_name>.lag.2"] <- coredata(<col_name>.lag.2)
# <col_name>.lag.2 <- lag(zoo(glb_newobs_df$<col_name>), -2, na.pad=TRUE)
# glb_newobs_df[, "<col_name>.lag.2"] <- coredata(<col_name>.lag.2)
#
# glb_newobs_df[1, "<col_name>.lag.2"] <- glb_trnobs_df[nrow(glb_trnobs_df) - 1,
# "<col_name>"]
# glb_newobs_df[2, "<col_name>.lag.2"] <- glb_trnobs_df[nrow(glb_trnobs_df),
# "<col_name>"]
# glb_allobs_df <- mutate(glb_allobs_df,
# A.P.http=ifelse(grepl("http",Added,fixed=TRUE), 1, 0)
# )
#
# glb_trnobs_df <- mutate(glb_trnobs_df,
# )
#
# glb_newobs_df <- mutate(glb_newobs_df,
# )
# Convert dates to numbers
# typically, dates come in as chars;
# so this must be done before converting chars to factors
#stop(here"); sav_allobs_df <- glb_allobs_df #; glb_allobs_df <- sav_allobs_df
if (!is.null(glb_date_vars)) {
glb_allobs_df <- cbind(glb_allobs_df,
myextract_dates_df(df=glb_allobs_df, vars=glb_date_vars,
id_vars=glb_id_var, rsp_var=glb_rsp_var))
for (sfx in c("", ".POSIX"))
glb_exclude_vars_as_features <-
union(glb_exclude_vars_as_features,
paste(glb_date_vars, sfx, sep=""))
for (feat in glb_date_vars) {
glb_allobs_df <- orderBy(reformulate(paste0(feat, ".POSIX")), glb_allobs_df)
# print(myplot_scatter(glb_allobs_df, xcol_name=paste0(feat, ".POSIX"),
# ycol_name=glb_rsp_var, colorcol_name=glb_rsp_var))
print(myplot_scatter(glb_allobs_df[glb_allobs_df[, paste0(feat, ".POSIX")] >=
strptime("2012-12-01", "%Y-%m-%d"), ],
xcol_name=paste0(feat, ".POSIX"),
ycol_name=glb_rsp_var, colorcol_name=paste0(feat, ".wkend")))
# Create features that measure the gap between previous timestamp in the data
require(zoo)
z <- zoo(as.numeric(as.POSIXlt(glb_allobs_df[, paste0(feat, ".POSIX")])))
glb_allobs_df[, paste0(feat, ".zoo")] <- z
print(head(glb_allobs_df[, c(glb_id_var, feat, paste0(feat, ".zoo"))]))
print(myplot_scatter(glb_allobs_df[glb_allobs_df[, paste0(feat, ".POSIX")] >
strptime("2012-10-01", "%Y-%m-%d"), ],
xcol_name=paste0(feat, ".zoo"), ycol_name=glb_rsp_var,
colorcol_name=glb_rsp_var))
b <- zoo(, seq(nrow(glb_allobs_df)))
last1 <- as.numeric(merge(z-lag(z, -1), b, all=TRUE)); last1[is.na(last1)] <- 0
glb_allobs_df[, paste0(feat, ".last1.log")] <- log(1 + last1)
print(gp <- myplot_box(df=glb_allobs_df[glb_allobs_df[,
paste0(feat, ".last1.log")] > 0, ],
ycol_names=paste0(feat, ".last1.log"),
xcol_name=glb_rsp_var))
last2 <- as.numeric(merge(z-lag(z, -2), b, all=TRUE)); last2[is.na(last2)] <- 0
glb_allobs_df[, paste0(feat, ".last2.log")] <- log(1 + last2)
print(gp <- myplot_box(df=glb_allobs_df[glb_allobs_df[,
paste0(feat, ".last2.log")] > 0, ],
ycol_names=paste0(feat, ".last2.log"),
xcol_name=glb_rsp_var))
last10 <- as.numeric(merge(z-lag(z, -10), b, all=TRUE)); last10[is.na(last10)] <- 0
glb_allobs_df[, paste0(feat, ".last10.log")] <- log(1 + last10)
print(gp <- myplot_box(df=glb_allobs_df[glb_allobs_df[,
paste0(feat, ".last10.log")] > 0, ],
ycol_names=paste0(feat, ".last10.log"),
xcol_name=glb_rsp_var))
last100 <- as.numeric(merge(z-lag(z, -100), b, all=TRUE)); last100[is.na(last100)] <- 0
glb_allobs_df[, paste0(feat, ".last100.log")] <- log(1 + last100)
print(gp <- myplot_box(df=glb_allobs_df[glb_allobs_df[,
paste0(feat, ".last100.log")] > 0, ],
ycol_names=paste0(feat, ".last100.log"),
xcol_name=glb_rsp_var))
glb_allobs_df <- orderBy(reformulate(glb_id_var), glb_allobs_df)
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features,
c(paste0(feat, ".zoo")))
# all2$last3 = as.numeric(merge(z-lag(z, -3), b, all = TRUE))
# all2$last5 = as.numeric(merge(z-lag(z, -5), b, all = TRUE))
# all2$last10 = as.numeric(merge(z-lag(z, -10), b, all = TRUE))
# all2$last20 = as.numeric(merge(z-lag(z, -20), b, all = TRUE))
# all2$last50 = as.numeric(merge(z-lag(z, -50), b, all = TRUE))
#
#
# # order table
# all2 = all2[order(all2$id),]
#
# ## fill in NAs
# # count averages
# na.avg = all2 %>% group_by(weekend, hour) %>% dplyr::summarise(
# last1=mean(last1, na.rm=TRUE),
# last3=mean(last3, na.rm=TRUE),
# last5=mean(last5, na.rm=TRUE),
# last10=mean(last10, na.rm=TRUE),
# last20=mean(last20, na.rm=TRUE),
# last50=mean(last50, na.rm=TRUE)
# )
#
# # fill in averages
# na.merge = merge(all2, na.avg, by=c("weekend","hour"))
# na.merge = na.merge[order(na.merge$id),]
# for(i in c("last1", "last3", "last5", "last10", "last20", "last50")) {
# y = paste0(i, ".y")
# idx = is.na(all2[[i]])
# all2[idx,][[i]] <- na.merge[idx,][[y]]
# }
# rm(na.avg, na.merge, b, i, idx, n, pd, sec, sh, y, z)
}
}
rm(last1, last10, last100)## Warning in rm(last1, last10, last100): object 'last1' not found## Warning in rm(last1, last10, last100): object 'last10' not found## Warning in rm(last1, last10, last100): object 'last100' not found# Create factors of string variables
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "factorize.str.vars"), major.inc=TRUE)## label step_major step_minor bgn end
## 1 extract.features_bgn 1 0 15.399 15.411
## 2 extract.features_factorize.str.vars 2 0 15.412 NA
## elapsed
## 1 0.013
## 2 NA#stop(here"); sav_allobs_df <- glb_allobs_df; #glb_allobs_df <- sav_allobs_df
print(str_vars <- myfind_chr_cols_df(glb_allobs_df))## description condition cellular carrier color
## "description" "condition" "cellular" "carrier" "color"
## storage productline .src .grpid prdline.my
## "storage" "productline" ".src" ".grpid" "prdline.my"
## descr.my
## "descr.my"if (length(str_vars <- setdiff(str_vars,
c(glb_exclude_vars_as_features, glb_txt_vars))) > 0) {
for (var in str_vars) {
warning("Creating factors of string variable: ", var,
": # of unique values: ", length(unique(glb_allobs_df[, var])))
glb_allobs_df[, paste0(var, ".fctr")] <-
relevel(factor(glb_allobs_df[, var]),
names(which.max(table(glb_allobs_df[, var], useNA = "ifany"))))
}
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features, str_vars)
}## Warning: Creating factors of string variable: condition: # of unique
## values: 6## Warning: Creating factors of string variable: cellular: # of unique values:
## 3## Warning: Creating factors of string variable: carrier: # of unique values:
## 7## Warning: Creating factors of string variable: color: # of unique values: 5## Warning: Creating factors of string variable: storage: # of unique values:
## 5if (!is.null(glb_txt_vars)) {
require(foreach)
require(gsubfn)
require(stringr)
require(tm)
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "process.text"), major.inc=TRUE)
chk_pattern_freq <- function(rex_str, ignore.case=TRUE) {
match_mtrx <- str_extract_all(txt_vctr, regex(rex_str, ignore_case=ignore.case),
simplify=TRUE)
match_df <- as.data.frame(match_mtrx[match_mtrx != ""])
names(match_df) <- "pattern"
return(mycreate_sqlxtab_df(match_df, "pattern"))
}
# match_lst <- gregexpr("\\bok(?!ay)", txt_vctr[746], ignore.case = FALSE, perl=TRUE); print(match_lst)
dsp_pattern <- function(rex_str, ignore.case=TRUE, print.all=TRUE) {
match_lst <- gregexpr(rex_str, txt_vctr, ignore.case = ignore.case, perl=TRUE)
match_lst <- regmatches(txt_vctr, match_lst)
match_df <- data.frame(matches=sapply(match_lst,
function (elems) paste(elems, collapse="#")))
match_df <- subset(match_df, matches != "")
if (print.all)
print(match_df)
return(match_df)
}
dsp_matches <- function(rex_str, ix) {
print(match_pos <- gregexpr(rex_str, txt_vctr[ix], perl=TRUE))
print(str_sub(txt_vctr[ix], (match_pos[[1]] / 100) * 99 + 0,
(match_pos[[1]] / 100) * 100 + 100))
}
myapply_gsub <- function(...) {
if ((length_lst <- length(names(gsub_map_lst))) == 0)
return(txt_vctr)
for (ptn_ix in 1:length_lst) {
if ((ptn_ix %% 10) == 0)
print(sprintf("running gsub for %02d (of %02d): #%s#...", ptn_ix,
length(names(gsub_map_lst)), names(gsub_map_lst)[ptn_ix]))
txt_vctr <- gsub(names(gsub_map_lst)[ptn_ix], gsub_map_lst[[ptn_ix]],
txt_vctr, ...)
}
return(txt_vctr)
}
myapply_txtmap <- function(txt_vctr, ...) {
nrows <- nrow(glb_txt_map_df)
for (ptn_ix in 1:nrows) {
if ((ptn_ix %% 10) == 0)
print(sprintf("running gsub for %02d (of %02d): #%s#...", ptn_ix,
nrows, glb_txt_map_df[ptn_ix, "rex_str"]))
txt_vctr <- gsub(glb_txt_map_df[ptn_ix, "rex_str"],
glb_txt_map_df[ptn_ix, "rpl_str"],
txt_vctr, ...)
}
return(txt_vctr)
}
chk.equal <- function(bgn, end) {
print(all.equal(sav_txt_lst[["Headline"]][bgn:end],
glb_txt_lst[["Headline"]][bgn:end]))
}
dsp.equal <- function(bgn, end) {
print(sav_txt_lst[["Headline"]][bgn:end])
print(glb_txt_lst[["Headline"]][bgn:end])
}
#sav_txt_lst <- glb_txt_lst; all.equal(sav_txt_lst, glb_txt_lst)
#all.equal(sav_txt_lst[["Headline"]][1:4200], glb_txt_lst[["Headline"]][1:4200])
#chk.equal( 1, 100)
#dsp.equal(86, 90)
txt_map_filename <- paste0(glb_txt_munge_filenames_pfx, "map.csv")
if (!file.exists(txt_map_filename))
stop(txt_map_filename, " not found!")
glb_txt_map_df <- read.csv(txt_map_filename, comment.char="#", strip.white=TRUE)
glb_txt_lst <- list();
print(sprintf("Building glb_txt_lst..."))
glb_txt_lst <- foreach(txt_var=glb_txt_vars) %dopar% {
# for (txt_var in glb_txt_vars) {
txt_vctr <- glb_allobs_df[, txt_var]
# myapply_txtmap shd be created as a tm_map::content_transformer ?
#print(glb_txt_map_df)
#txt_var=glb_txt_vars[3]; txt_vctr <- glb_txt_lst[[txt_var]]
#print(rex_str <- glb_txt_map_df[3, "rex_str"])
#print(rex_str <- glb_txt_map_df[glb_txt_map_df$rex_str == "\\bWall St\\.", "rex_str"])
#print(rex_str <- glb_txt_map_df[grepl("du Pont", glb_txt_map_df$rex_str), "rex_str"])
#print(rex_str <- glb_txt_map_df[glb_txt_map_df$rpl_str == "versus", "rex_str"])
#print(tmp_vctr <- grep(rex_str, txt_vctr, value=TRUE, ignore.case=FALSE))
#ret_lst <- regexec(rex_str, txt_vctr, ignore.case=FALSE); ret_lst <- regmatches(txt_vctr, ret_lst); ret_vctr <- sapply(1:length(ret_lst), function(pos_ix) ifelse(length(ret_lst[[pos_ix]]) > 0, ret_lst[[pos_ix]], "")); print(ret_vctr <- ret_vctr[ret_vctr != ""])
#gsub(rex_str, glb_txt_map_df[glb_txt_map_df$rex_str == rex_str, "rpl_str"], tmp_vctr, ignore.case=FALSE)
#grep("Hong Hong", txt_vctr, value=TRUE)
txt_vctr <- myapply_txtmap(txt_vctr, ignore.case=FALSE)
}
names(glb_txt_lst) <- glb_txt_vars
for (txt_var in glb_txt_vars) {
print(sprintf("Remaining OK in %s:", txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
print(chk_pattern_freq(rex_str <- "(?<!(BO|HO|LO))OK(?!(E\\!|ED|IE|IN|S ))",
ignore.case=FALSE))
match_df <- dsp_pattern(rex_str, ignore.case=FALSE, print.all=FALSE)
for (row in row.names(match_df))
dsp_matches(rex_str, ix=as.numeric(row))
print(chk_pattern_freq(rex_str <- "Ok(?!(a\\.|ay|in|ra|um))", ignore.case=FALSE))
match_df <- dsp_pattern(rex_str, ignore.case=FALSE, print.all=FALSE)
for (row in row.names(match_df))
dsp_matches(rex_str, ix=as.numeric(row))
print(chk_pattern_freq(rex_str <- "(?<!( b| B| c| C| g| G| j| M| p| P| w| W| r| Z|\\(b|ar|bo|Bo|co|Co|Ew|gk|go|ho|ig|jo|kb|ke|Ke|ki|lo|Lo|mo|mt|no|No|po|ra|ro|sm|Sm|Sp|to|To))ok(?!(ay|bo|e |e\\)|e,|e\\.|eb|ed|el|en|er|es|ey|i |ie|in|it|ka|ke|ki|ly|on|oy|ra|st|u |uc|uy|yl|yo))",
ignore.case=FALSE))
match_df <- dsp_pattern(rex_str, ignore.case=FALSE, print.all=FALSE)
for (row in row.names(match_df))
dsp_matches(rex_str, ix=as.numeric(row))
}
# txt_vctr <- glb_txt_lst[[glb_txt_vars[1]]]
# print(chk_pattern_freq(rex_str <- "(?<!( b| c| C| p|\\(b|bo|co|lo|Lo|Sp|to|To))ok(?!(ay|e |e\\)|e,|e\\.|ed|el|en|es|ey|ie|in|on|ra))", ignore.case=FALSE))
# print(chk_pattern_freq(rex_str <- "ok(?!(ay|el|on|ra))", ignore.case=FALSE))
# dsp_pattern(rex_str, ignore.case=FALSE, print.all=FALSE)
# dsp_matches(rex_str, ix=8)
# substr(txt_vctr[86], 5613, 5620)
# substr(glb_allobs_df[301, "review"], 550, 650)
#stop(here"); sav_txt_lst <- glb_txt_lst
for (txt_var in glb_txt_vars) {
print(sprintf("Remaining Acronyms in %s:", txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
print(chk_pattern_freq(rex_str <- "([[:upper:]]\\.( *)){2,}", ignore.case=FALSE))
# Check for names
print(subset(chk_pattern_freq(rex_str <- "(([[:upper:]]+)\\.( *)){1}",
ignore.case=FALSE),
.n > 1))
# dsp_pattern(rex_str="(OK\\.( *)){1}", ignore.case=FALSE)
# dsp_matches(rex_str="(OK\\.( *)){1}", ix=557)
#dsp_matches(rex_str="\\bR\\.I\\.P(\\.*)(\\B)", ix=461)
#dsp_matches(rex_str="\\bR\\.I\\.P(\\.*)", ix=461)
#print(str_sub(txt_vctr[676], 10100, 10200))
#print(str_sub(txt_vctr[74], 1, -1))
}
for (txt_var in glb_txt_vars) {
re_str <- "\\b(Fort|Ft\\.|Hong|Las|Los|New|Puerto|Saint|San|St\\.)( |-)(\\w)+"
print(sprintf("Remaining #%s# terms in %s: ", re_str, txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
print(orderBy(~ -.n +pattern, subset(chk_pattern_freq(re_str, ignore.case=FALSE),
grepl("( |-)[[:upper:]]", pattern))))
print(" consider cleaning if relevant to problem domain; geography name; .n > 1")
#grep("New G", txt_vctr, value=TRUE, ignore.case=FALSE)
#grep("St\\. Wins", txt_vctr, value=TRUE, ignore.case=FALSE)
}
#stop(here"); sav_txt_lst <- glb_txt_lst
for (txt_var in glb_txt_vars) {
re_str <- "\\b(N|S|E|W|C)( |\\.)(\\w)+"
print(sprintf("Remaining #%s# terms in %s: ", re_str, txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
print(orderBy(~ -.n +pattern, subset(chk_pattern_freq(re_str, ignore.case=FALSE),
grepl(".", pattern))))
#grep("N Weaver", txt_vctr, value=TRUE, ignore.case=FALSE)
}
for (txt_var in glb_txt_vars) {
re_str <- "\\b(North|South|East|West|Central)( |\\.)(\\w)+"
print(sprintf("Remaining #%s# terms in %s: ", re_str, txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
if (nrow(filtered_df <- subset(chk_pattern_freq(re_str, ignore.case=FALSE),
grepl(".", pattern))) > 0)
print(orderBy(~ -.n +pattern, filtered_df))
#grep("Central (African|Bankers|Cast|Italy|Role|Spring)", txt_vctr, value=TRUE, ignore.case=FALSE)
#grep("East (Africa|Berlin|London|Poland|Rivals|Spring)", txt_vctr, value=TRUE, ignore.case=FALSE)
#grep("North (American|Korean|West)", txt_vctr, value=TRUE, ignore.case=FALSE)
#grep("South (Pacific|Street)", txt_vctr, value=TRUE, ignore.case=FALSE)
#grep("St\\. Martins", txt_vctr, value=TRUE, ignore.case=FALSE)
}
find_cmpnd_wrds <- function(txt_vctr) {
txt_corpus <- Corpus(VectorSource(txt_vctr))
txt_corpus <- tm_map(txt_corpus, content_transformer(tolower), lazy=TRUE)
txt_corpus <- tm_map(txt_corpus, PlainTextDocument, lazy=TRUE)
txt_corpus <- tm_map(txt_corpus, removePunctuation, lazy=TRUE,
preserve_intra_word_dashes=TRUE, lazy=TRUE)
full_Tf_DTM <- DocumentTermMatrix(txt_corpus,
control=list(weighting=weightTf))
print(" Full TermMatrix:"); print(full_Tf_DTM)
full_Tf_mtrx <- as.matrix(full_Tf_DTM)
rownames(full_Tf_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
full_Tf_vctr <- colSums(full_Tf_mtrx)
names(full_Tf_vctr) <- dimnames(full_Tf_DTM)[[2]]
#grep("year", names(full_Tf_vctr), value=TRUE)
#which.max(full_Tf_mtrx[, "yearlong"])
full_Tf_df <- as.data.frame(full_Tf_vctr)
names(full_Tf_df) <- "Tf.full"
full_Tf_df$term <- rownames(full_Tf_df)
#full_Tf_df$freq.full <- colSums(full_Tf_mtrx != 0)
full_Tf_df <- orderBy(~ -Tf.full, full_Tf_df)
cmpnd_Tf_df <- full_Tf_df[grep("-", full_Tf_df$term, value=TRUE) ,]
txt_compound_filename <- paste0(glb_txt_munge_filenames_pfx, "compound.csv")
if (!file.exists(txt_compound_filename))
stop(txt_compound_filename, " not found!")
filter_df <- read.csv(txt_compound_filename, comment.char="#", strip.white=TRUE)
cmpnd_Tf_df$filter <- FALSE
for (row_ix in 1:nrow(filter_df))
cmpnd_Tf_df[!cmpnd_Tf_df$filter, "filter"] <-
grepl(filter_df[row_ix, "rex_str"],
cmpnd_Tf_df[!cmpnd_Tf_df$filter, "term"], ignore.case=TRUE)
cmpnd_Tf_df <- subset(cmpnd_Tf_df, !filter)
# Bug in tm_map(txt_corpus, removePunctuation, preserve_intra_word_dashes=TRUE) ???
# "net-a-porter" gets converted to "net-aporter"
#grep("net-a-porter", txt_vctr, ignore.case=TRUE, value=TRUE)
#grep("maser-laser", txt_vctr, ignore.case=TRUE, value=TRUE)
#txt_corpus[[which(grepl("net-a-porter", txt_vctr, ignore.case=TRUE))]]
#grep("\\b(across|longer)-(\\w)", cmpnd_Tf_df$term, ignore.case=TRUE, value=TRUE)
#grep("(\\w)-(affected|term)\\b", cmpnd_Tf_df$term, ignore.case=TRUE, value=TRUE)
print(sprintf("nrow(cmpnd_Tf_df): %d", nrow(cmpnd_Tf_df)))
myprint_df(cmpnd_Tf_df)
}
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "process.text_reporting_compound_terms"), major.inc=FALSE)
for (txt_var in glb_txt_vars) {
print(sprintf("Remaining compound terms in %s: ", txt_var))
txt_vctr <- glb_txt_lst[[txt_var]]
# find_cmpnd_wrds(txt_vctr)
#grep("thirty-five", txt_vctr, ignore.case=TRUE, value=TRUE)
#rex_str <- glb_txt_map_df[grepl("hirty", glb_txt_map_df$rex_str), "rex_str"]
}
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "build.corpus"), major.inc=TRUE)
get_DTM_terms <- function(DTM) {
TfIdf_mtrx <- as.matrix(DTM)
rownames(TfIdf_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
TfIdf_vctr <- colSums(TfIdf_mtrx)
names(TfIdf_vctr) <- dimnames(DTM)[[2]]
TfIdf_df <- as.data.frame(TfIdf_vctr)
names(TfIdf_df) <- "TfIdf"
TfIdf_df$term <- rownames(TfIdf_df)
TfIdf_df$freq <- colSums(TfIdf_mtrx != 0)
TfIdf_df$pos <- 1:nrow(TfIdf_df)
TfIdf_df$cor.y <- cor(TfIdf_mtrx, as.numeric(glb_allobs_df[, glb_txt_cor_var]),
use="pairwise.complete.obs")
TfIdf_df$cor.y.abs <- abs(TfIdf_df$cor.y)
for (cls in unique(glb_allobs_df[, glb_txt_cor_var])) {
if (!is.na(cls))
TfIdf_df[, paste0("TfIdf.", as.character(cls))] <-
colSums(TfIdf_mtrx *
as.numeric(!is.na(glb_allobs_df[, glb_txt_cor_var]) &
(glb_allobs_df[, glb_txt_cor_var] == cls))) else
TfIdf_df[, paste0("TfIdf.", as.character(cls))] <-
colSums(TfIdf_mtrx *
as.numeric(is.na(glb_allobs_df[, glb_txt_cor_var])))
}
# Check all calls to get_DTM_terms to change returned order assumption
return(TfIdf_df <- orderBy(~ -TfIdf, TfIdf_df))
}
#plt_full_df <- get_DTM_terms(DTM=glb_full_DTM_lst[[txt_var]])
get_corpus_terms <- function(txt_corpus) {
TfIdf_DTM <- DocumentTermMatrix(txt_corpus,
control=list(weighting=weightTfIdf))
return(TfIdf_df <- get_DTM_terms(TfIdf_DTM))
}
#stop(here")
glb_corpus_lst <- list()
print(sprintf("Building glb_corpus_lst..."))
glb_corpus_lst <- foreach(txt_var=glb_txt_vars) %dopar% {
# for (txt_var in glb_txt_vars) {
txt_corpus <- Corpus(VectorSource(glb_txt_lst[[txt_var]]))
#tolower Not needed as of version 0.6.2 ?
txt_corpus <- tm_map(txt_corpus, PlainTextDocument, lazy=FALSE)
txt_corpus <- tm_map(txt_corpus, content_transformer(tolower), lazy=FALSE) #nuppr
# removePunctuation does not replace with whitespace. Use a custom transformer ???
txt_corpus <- tm_map(txt_corpus, removePunctuation, lazy=TRUE) #npnct<chr_ix>
# txt-corpus <- tm_map(txt_corpus, content_transformer(function(x, pattern) gsub(pattern, "", x))
txt_corpus <- tm_map(txt_corpus, removeWords,
c(glb_append_stop_words[[txt_var]],
stopwords("english")), lazy=TRUE) #nstopwrds
#print("StoppedWords:"); stopped_words_TfIdf_df <- inspect_terms(txt_corpus)
#stopped_words_TfIdf_df[grepl("cond", stopped_words_TfIdf_df$term, ignore.case=TRUE), ]
#txt_X_mtrx <- as.matrix(DocumentTermMatrix(txt_corpus, control=list(weighting=weightTfIdf)))
#which(txt_X_mtrx[, 211] > 0)
#glb_allobs_df[which(txt_X_mtrx[, 211] > 0), glb_txt_vars]
#txt_X_mtrx[2159, txt_X_mtrx[2159, ] > 0]
# txt_corpus <- tm_map(txt_corpus, stemDocument, "english", lazy=TRUE) #Done below
#txt_corpus <- tm_map(txt_corpus, content_transformer(stemDocument))
#print("StemmedWords:"); stemmed_words_TfIdf_df <- inspect_terms(txt_corpus)
#stemmed_words_TfIdf_df[grepl("cond", stemmed_words_TfIdf_df$term, ignore.case=TRUE), ]
#stm_X_mtrx <- as.matrix(DocumentTermMatrix(txt_corpus, control=list(weighting=weightTfIdf)))
#glb_allobs_df[which((stm_X_mtrx[, 180] > 0) | (stm_X_mtrx[, 181] > 0)), glb_txt_vars]
#glb_allobs_df[which((stm_X_mtrx[, 181] > 0)), glb_txt_vars]
# glb_corpus_lst[[txt_var]] <- txt_corpus
}
names(glb_corpus_lst) <- glb_txt_vars
#stop(here")
glb_post_stop_words_terms_df_lst <- list();
glb_post_stop_words_TfIdf_mtrx_lst <- list();
glb_post_stem_words_terms_df_lst <- list();
glb_post_stem_words_TfIdf_mtrx_lst <- list();
for (txt_var in glb_txt_vars) {
print(sprintf(" Top_n stop TfIDf terms for %s:", txt_var))
# This impacts stemming probably due to lazy parameter
print(myprint_df(full_TfIdf_df <- get_corpus_terms(glb_corpus_lst[[txt_var]]),
glb_txt_top_n[[txt_var]]))
glb_post_stop_words_terms_df_lst[[txt_var]] <- full_TfIdf_df
TfIdf_stop_mtrx <- as.matrix(DocumentTermMatrix(glb_corpus_lst[[txt_var]],
control=list(weighting=weightTfIdf)))
rownames(TfIdf_stop_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
glb_post_stop_words_TfIdf_mtrx_lst[[txt_var]] <- TfIdf_stop_mtrx
tmp_allobs_df <- glb_allobs_df[, c(glb_id_var, glb_rsp_var)]
tmp_allobs_df$terms.n.post.stop <- rowSums(TfIdf_stop_mtrx > 0)
tmp_allobs_df$terms.n.post.stop.log <- log(1 + tmp_allobs_df$terms.n.post.stop)
tmp_allobs_df$TfIdf.sum.post.stop <- rowSums(TfIdf_stop_mtrx)
print(sprintf(" Top_n stem TfIDf terms for %s:", txt_var))
glb_corpus_lst[[txt_var]] <- tm_map(glb_corpus_lst[[txt_var]], stemDocument,
"english", lazy=TRUE) #Features ???
print(myprint_df(full_TfIdf_df <- get_corpus_terms(glb_corpus_lst[[txt_var]]),
glb_txt_top_n[[txt_var]]))
glb_post_stem_words_terms_df_lst[[txt_var]] <- full_TfIdf_df
TfIdf_stem_mtrx <- as.matrix(DocumentTermMatrix(glb_corpus_lst[[txt_var]],
control=list(weighting=weightTfIdf)))
rownames(TfIdf_stem_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
glb_post_stem_words_TfIdf_mtrx_lst[[txt_var]] <- TfIdf_stem_mtrx
tmp_allobs_df$terms.n.post.stem <- rowSums(TfIdf_stem_mtrx > 0)
tmp_allobs_df$terms.n.post.stem.log <- log(1 + tmp_allobs_df$terms.n.post.stem)
tmp_allobs_df$TfIdf.sum.post.stem <- rowSums(TfIdf_stem_mtrx)
tmp_allobs_df$terms.n.stem.stop.Ratio <-
1.0 * tmp_allobs_df$terms.n.post.stem / tmp_allobs_df$terms.n.post.stop
tmp_allobs_df[is.nan(tmp_allobs_df$terms.n.stem.stop.Ratio),
"terms.n.stem.stop.Ratio"] <- 1.0
tmp_allobs_df$TfIdf.sum.stem.stop.Ratio <-
1.0 * tmp_allobs_df$TfIdf.sum.post.stem / tmp_allobs_df$TfIdf.sum.post.stop
tmp_allobs_df[is.nan(tmp_allobs_df$TfIdf.sum.stem.stop.Ratio),
"TfIdf.sum.stem.stop.Ratio"] <- 1.0
tmp_trnobs_df <- tmp_allobs_df[!is.na(tmp_allobs_df[, glb_rsp_var]), ]
print(cor(as.matrix(tmp_trnobs_df[, -c(1, 2)]),
as.numeric(tmp_trnobs_df[, glb_rsp_var])))
txt_var_pfx <- toupper(substr(txt_var, 1, 1))
tmp_allobs_df <- tmp_allobs_df[, -c(1, 2)]
names(tmp_allobs_df) <- paste(paste0(txt_var_pfx, "."), names(tmp_allobs_df),
sep="")
glb_allobs_df <- cbind(glb_allobs_df, tmp_allobs_df)
glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features,
paste(txt_var_pfx, c("terms.n.post.stop", "terms.n.post.stem")))
}
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "extract.DTM"), major.inc=TRUE)
#stop(here")
glb_full_DTM_lst <- list(); glb_sprs_DTM_lst <- list();
for (txt_var in glb_txt_vars) {
print(sprintf("Extracting TfIDf terms for %s...", txt_var))
txt_corpus <- glb_corpus_lst[[txt_var]]
# full_Tf_DTM <- DocumentTermMatrix(txt_corpus,
# control=list(weighting=weightTf))
full_TfIdf_DTM <- DocumentTermMatrix(txt_corpus,
control=list(weighting=weightTfIdf))
sprs_TfIdf_DTM <- removeSparseTerms(full_TfIdf_DTM,
glb_sprs_thresholds[txt_var])
# glb_full_DTM_lst[[txt_var]] <- full_Tf_DTM
# glb_sprs_DTM_lst[[txt_var]] <- sprs_Tf_DTM
glb_full_DTM_lst[[txt_var]] <- full_TfIdf_DTM
glb_sprs_DTM_lst[[txt_var]] <- sprs_TfIdf_DTM
}
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "report.DTM"), major.inc=TRUE)
require(reshape2)
for (txt_var in glb_txt_vars) {
print(sprintf("Reporting TfIDf terms for %s...", txt_var))
full_TfIdf_DTM <- glb_full_DTM_lst[[txt_var]]
sprs_TfIdf_DTM <- glb_sprs_DTM_lst[[txt_var]]
print(" Full TermMatrix:"); print(full_TfIdf_DTM)
full_TfIdf_df <- get_DTM_terms(full_TfIdf_DTM)
full_TfIdf_df <- full_TfIdf_df[, c(2, 1, 3, 4)]
col_names <- names(full_TfIdf_df)
col_names[2:length(col_names)] <-
paste(col_names[2:length(col_names)], ".full", sep="")
names(full_TfIdf_df) <- col_names
# full_TfIdf_mtrx <- as.matrix(full_TfIdf_DTM)
# rownames(full_TfIdf_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
# full_TfIdf_vctr <- colSums(full_TfIdf_mtrx)
# names(full_TfIdf_vctr) <- dimnames(full_TfIdf_DTM)[[2]]
# full_TfIdf_df <- as.data.frame(full_TfIdf_vctr)
# names(full_TfIdf_df) <- "TfIdf.full"
# full_TfIdf_df$term <- rownames(full_TfIdf_df)
# full_TfIdf_df$freq.full <- colSums(full_TfIdf_mtrx != 0)
# full_TfIdf_df <- orderBy(~ -TfIdf.full, full_TfIdf_df)
print(" Sparse TermMatrix:"); print(sprs_TfIdf_DTM)
sprs_TfIdf_df <- get_DTM_terms(sprs_TfIdf_DTM)
sprs_TfIdf_df <- sprs_TfIdf_df[, c(2, 1, 3, 4)]
col_names <- names(sprs_TfIdf_df)
col_names[2:length(col_names)] <-
paste(col_names[2:length(col_names)], ".sprs", sep="")
names(sprs_TfIdf_df) <- col_names
# sprs_TfIdf_vctr <- colSums(as.matrix(sprs_TfIdf_DTM))
# names(sprs_TfIdf_vctr) <- dimnames(sprs_TfIdf_DTM)[[2]]
# sprs_TfIdf_df <- as.data.frame(sprs_TfIdf_vctr)
# names(sprs_TfIdf_df) <- "TfIdf.sprs"
# sprs_TfIdf_df$term <- rownames(sprs_TfIdf_df)
# sprs_TfIdf_df$freq.sprs <- colSums(as.matrix(sprs_TfIdf_DTM) != 0)
# sprs_TfIdf_df <- orderBy(~ -TfIdf.sprs, sprs_TfIdf_df)
terms_TfIdf_df <- merge(full_TfIdf_df, sprs_TfIdf_df, all.x=TRUE)
terms_TfIdf_df$in.sprs <- !is.na(terms_TfIdf_df$freq.sprs)
plt_TfIdf_df <- subset(terms_TfIdf_df,
TfIdf.full >= min(terms_TfIdf_df$TfIdf.sprs, na.rm=TRUE))
plt_TfIdf_df$label <- ""
plt_TfIdf_df[is.na(plt_TfIdf_df$TfIdf.sprs), "label"] <-
plt_TfIdf_df[is.na(plt_TfIdf_df$TfIdf.sprs), "term"]
# glb_important_terms[[txt_var]] <- union(glb_important_terms[[txt_var]],
# plt_TfIdf_df[is.na(plt_TfIdf_df$TfIdf.sprs), "term"])
print(myplot_scatter(plt_TfIdf_df, "freq.full", "TfIdf.full",
colorcol_name="in.sprs") +
geom_text(aes(label=label), color="Black", size=3.5))
melt_TfIdf_df <- orderBy(~ -value, melt(terms_TfIdf_df, id.var="term"))
print(ggplot(melt_TfIdf_df, aes(value, color=variable)) + stat_ecdf() +
geom_hline(yintercept=glb_sprs_thresholds[txt_var],
linetype = "dotted"))
melt_TfIdf_df <- orderBy(~ -value,
melt(subset(terms_TfIdf_df, !is.na(TfIdf.sprs)), id.var="term"))
print(myplot_hbar(melt_TfIdf_df, "term", "value",
colorcol_name="variable"))
melt_TfIdf_df <- orderBy(~ -value,
melt(subset(terms_TfIdf_df, is.na(TfIdf.sprs)), id.var="term"))
print(myplot_hbar(head(melt_TfIdf_df, 10), "term", "value",
colorcol_name="variable"))
}
# sav_full_DTM_lst <- glb_full_DTM_lst
# sav_sprs_DTM_lst <- glb_sprs_DTM_lst
# print(identical(sav_glb_corpus_lst, glb_corpus_lst))
# print(all.equal(length(sav_glb_corpus_lst), length(glb_corpus_lst)))
# print(all.equal(names(sav_glb_corpus_lst), names(glb_corpus_lst)))
# print(all.equal(sav_glb_corpus_lst[["Headline"]], glb_corpus_lst[["Headline"]]))
# print(identical(sav_full_DTM_lst, glb_full_DTM_lst))
# print(identical(sav_sprs_DTM_lst, glb_sprs_DTM_lst))
rm(full_TfIdf_mtrx, full_TfIdf_df, melt_TfIdf_df, terms_TfIdf_df)
# Create txt features
if ((length(glb_txt_vars) > 1) &&
(length(unique(pfxs <- sapply(glb_txt_vars,
function(txt) toupper(substr(txt, 1, 1))))) < length(glb_txt_vars)))
stop("Prefixes for corpus freq terms not unique: ", pfxs)
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "bind.DTM"),
major.inc=TRUE)
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
require(tidyr)
for (txt_var in glb_txt_vars) {
print(sprintf("Binding DTM for %s...", txt_var))
txt_var_pfx <- toupper(substr(txt_var, 1, 1))
txt_full_X_df <- as.data.frame(as.matrix(glb_full_DTM_lst[[txt_var]]))
terms_full_df <- get_DTM_terms(glb_full_DTM_lst[[txt_var]])
colnames(txt_full_X_df) <- paste(txt_var_pfx, ".T.",
make.names(colnames(txt_full_X_df)), sep="")
rownames(txt_full_X_df) <- rownames(glb_allobs_df) # warning otherwise
plt_full_df <- terms_full_df
names(plt_full_df)[grepl("TfIdf$", names(plt_full_df))] <- "TfIdf.all"
# gather(plt_full_df[1:5, ], domain, TfIdf, -matches("!(TfIdf)"))
# gather(plt_full_df[1:5, grepl("TfIdf", names(plt_full_df))], domain, TfIdf)
# gather(plt_full_df[1:5, ], domain, TfIdf,
# -names(plt_full_df)[!grepl("TfIdf", names(plt_full_df))])
plt_full_df <- gather(plt_full_df, domain, TfIdf,
-c(term, freq, pos, cor.y, cor.y.abs))
plt_full_df$label <- NA
top_val_terms <- orderBy(~-TfIdf, terms_full_df)$term[1:glb_txt_top_n[[txt_var]]]
plt_full_df[plt_full_df$term %in% top_val_terms, "label"] <-
plt_full_df[plt_full_df$term %in% top_val_terms, "term"]
top_cor_terms <- orderBy(~-cor.y.abs,
terms_full_df)$term[1:glb_txt_top_n[[txt_var]]]
plt_full_df[plt_full_df$term %in% top_cor_terms, "label"] <-
plt_full_df[plt_full_df$term %in% top_cor_terms, "term"]
print(ggplot(plt_full_df, aes(x=TfIdf, y=cor.y)) + facet_wrap(~ domain) +
geom_point(aes(size=freq), color="grey") +
geom_jitter() +
geom_text(aes(label=label), color="NavyBlue", size=3.5))
if (glb_txt_filter_terms == "sparse") {
txt_X_df <- as.data.frame(as.matrix(glb_sprs_DTM_lst[[txt_var]]))
select_terms <- make.names(colnames(txt_X_df))
# colnames(txt_X_df) <- paste(txt_var_pfx, ".T.",
# make.names(colnames(txt_X_df)), sep="")
# rownames(txt_X_df) <- rownames(glb_allobs_df) # warning otherwise
} else if (glb_txt_filter_terms == "top.val") {
select_terms <- orderBy(~-TfIdf,
terms_full_df)$term[1:glb_txt_top_n[[txt_var]]]
# txt_X_df <- txt_full_X_df[, subset(terms_full_df, term %in% select_terms)$pos,
# FALSE]
} else if (glb_txt_filter_terms == "top.cor") {
select_terms <- orderBy(~-cor.y.abs,
terms_full_df)$term[1:glb_txt_top_n[[txt_var]]]
# txt_X_df <- txt_full_X_df[, subset(terms_full_df, term %in% select_terms)$pos,
# FALSE]
} else stop(
"glb_txt_filter_terms should be one of c('sparse', 'top.val', 'top.cor') vs. '",
glb_txt_filter_terms, "'")
assoc_terms_lst <- findAssocs(glb_full_DTM_lst[[txt_var]], select_terms, c(0.2))
assoc_terms <- c(NULL)
for (term in names(assoc_terms_lst))
if (length(assoc_terms_lst[[term]]) > 0)
assoc_terms <- union(assoc_terms, names(assoc_terms_lst[[term]]))
txt_X_df <- txt_full_X_df[,
subset(terms_full_df, term %in% c(select_terms, assoc_terms))$pos,
FALSE]
glb_allobs_df <- cbind(glb_allobs_df, txt_X_df) # TfIdf is normalized
#glb_allobs_df <- cbind(glb_allobs_df, log_X_df) # if using non-normalized metrics
}
#identical(chk_entity_df, glb_allobs_df)
#chk_entity_df <- glb_allobs_df
extract.features_chunk_df <- myadd_chunk(extract.features_chunk_df,
paste0("extract.features_", "bind.DXM"),
major.inc=TRUE)
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
glb_punct_vctr <- c("!", "\"", "#", "\\$", "%", "&", "'",
"\\(|\\)",# "\\(", "\\)",
"\\*", "\\+", ",", "-", "\\.", "/", ":", ";",
"<|>", # "<",
"=",
# ">",
"\\?", "@", "\\[", "\\\\", "\\]", "^", "_", "`",
"\\{", "\\|", "\\}", "~")
txt_X_df <- glb_allobs_df[, c(glb_id_var, ".rnorm"), FALSE]
txt_X_df <- foreach(txt_var=glb_txt_vars, .combine=cbind) %dopar% {
#for (txt_var in glb_txt_vars) {
print(sprintf("Binding DXM for %s...", txt_var))
txt_var_pfx <- toupper(substr(txt_var, 1, 1))
txt_full_DTM_mtrx <- as.matrix(glb_full_DTM_lst[[txt_var]])
rownames(txt_full_DTM_mtrx) <- rownames(glb_allobs_df) # print undreadable otherwise
#print(txt_full_DTM_mtrx[txt_full_DTM_mtrx[, "ebola"] != 0, "ebola"])
# Create <txt_var>.T.<term> for glb_important_terms
for (term in glb_important_terms[[txt_var]])
txt_X_df[, paste0(txt_var_pfx, ".T.", make.names(term))] <-
txt_full_DTM_mtrx[, term]
# Create <txt_var>.nwrds.log & .nwrds.unq.log
txt_X_df[, paste0(txt_var_pfx, ".nwrds.log")] <-
log(1 + mycount_pattern_occ("\\w+", glb_txt_lst[[txt_var]]))
txt_X_df[, paste0(txt_var_pfx, ".nwrds.unq.log")] <-
log(1 + rowSums(txt_full_DTM_mtrx != 0))
txt_X_df[, paste0(txt_var_pfx, ".sum.TfIdf")] <-
rowSums(txt_full_DTM_mtrx)
txt_X_df[, paste0(txt_var_pfx, ".ratio.sum.TfIdf.nwrds")] <-
txt_X_df[, paste0(txt_var_pfx, ".sum.TfIdf")] /
(exp(txt_X_df[, paste0(txt_var_pfx, ".nwrds.log")]) - 1)
txt_X_df[is.nan(txt_X_df[, paste0(txt_var_pfx, ".ratio.sum.TfIdf.nwrds")]),
paste0(txt_var_pfx, ".ratio.sum.TfIdf.nwrds")] <- 0
# Create <txt_var>.nchrs.log
txt_X_df[, paste0(txt_var_pfx, ".nchrs.log")] <-
log(1 + mycount_pattern_occ(".", glb_allobs_df[, txt_var]))
txt_X_df[, paste0(txt_var_pfx, ".nuppr.log")] <-
log(1 + mycount_pattern_occ("[[:upper:]]", glb_allobs_df[, txt_var]))
txt_X_df[, paste0(txt_var_pfx, ".ndgts.log")] <-
log(1 + mycount_pattern_occ("[[:digit:]]", glb_allobs_df[, txt_var]))
# Create <txt_var>.npnct?.log
# would this be faster if it's iterated over each row instead of
# each created column ???
for (punct_ix in 1:length(glb_punct_vctr)) {
# smp0 <- " "
# smp1 <- "! \" # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \ ] ^ _ ` { | } ~"
# smp2 <- paste(smp1, smp1, sep=" ")
# print(sprintf("Testing %s pattern:", glb_punct_vctr[punct_ix]))
# results <- mycount_pattern_occ(glb_punct_vctr[punct_ix], c(smp0, smp1, smp2))
# names(results) <- NULL; print(results)
txt_X_df[,
paste0(txt_var_pfx, ".npnct", sprintf("%02d", punct_ix), ".log")] <-
log(1 + mycount_pattern_occ(glb_punct_vctr[punct_ix],
glb_allobs_df[, txt_var]))
}
# print(head(glb_allobs_df[glb_allobs_df[, "A.npnct23.log"] > 0,
# c("UniqueID", "Popular", "Abstract", "A.npnct23.log")]))
# Create <txt_var>.nstopwrds.log & <txt_var>ratio.nstopwrds.nwrds
stop_words_rex_str <- paste0("\\b(", paste0(c(glb_append_stop_words[[txt_var]],
stopwords("english")), collapse="|"),
")\\b")
txt_X_df[, paste0(txt_var_pfx, ".nstopwrds", ".log")] <-
log(1 + mycount_pattern_occ(stop_words_rex_str, glb_txt_lst[[txt_var]]))
txt_X_df[, paste0(txt_var_pfx, ".ratio.nstopwrds.nwrds")] <-
exp(txt_X_df[, paste0(txt_var_pfx, ".nstopwrds", ".log")] -
txt_X_df[, paste0(txt_var_pfx, ".nwrds", ".log")])
# Create <txt_var>.P.http
txt_X_df[, paste(txt_var_pfx, ".P.http", sep="")] <-
as.integer(0 + mycount_pattern_occ("http", glb_allobs_df[, txt_var]))
# Create <txt_var>.P.mini & air
txt_X_df[, paste(txt_var_pfx, ".P.mini", sep="")] <-
as.integer(0 + mycount_pattern_occ("mini(?!m)", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df[, paste(txt_var_pfx, ".P.air", sep="")] <-
as.integer(0 + mycount_pattern_occ("(?<![fhp])air", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df[, paste(txt_var_pfx, ".P.black", sep="")] <-
as.integer(0 + mycount_pattern_occ("black", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df[, paste(txt_var_pfx, ".P.white", sep="")] <-
as.integer(0 + mycount_pattern_occ("white", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df[, paste(txt_var_pfx, ".P.gold", sep="")] <-
as.integer(0 + mycount_pattern_occ("gold", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df[, paste(txt_var_pfx, ".P.spacegray", sep="")] <-
as.integer(0 + mycount_pattern_occ("spacegray", glb_allobs_df[, txt_var],
perl=TRUE))
txt_X_df <- subset(txt_X_df, select=-.rnorm)
txt_X_df <- txt_X_df[, -grep(glb_id_var, names(txt_X_df), fixed=TRUE), FALSE]
#glb_allobs_df <- cbind(glb_allobs_df, txt_X_df)
}
glb_allobs_df <- cbind(glb_allobs_df, txt_X_df)
#myplot_box(glb_allobs_df, "A.sum.TfIdf", glb_rsp_var)
# if (sum(is.na(glb_allobs_df$D.P.http)) > 0)
# stop("Why is this happening ?")
# Generate summaries
# print(summary(glb_allobs_df))
# print(sapply(names(glb_allobs_df), function(col) sum(is.na(glb_allobs_df[, col]))))
# print(summary(glb_trnobs_df))
# print(sapply(names(glb_trnobs_df), function(col) sum(is.na(glb_trnobs_df[, col]))))
# print(summary(glb_newobs_df))
# print(sapply(names(glb_newobs_df), function(col) sum(is.na(glb_newobs_df[, col]))))
glb_exclude_vars_as_features <- union(glb_exclude_vars_as_features,
glb_txt_vars)
rm(log_X_df, txt_X_df)
}## Loading required package: gsubfn
## Loading required package: proto
## Loading required package: stringr
## Loading required package: tm
## Loading required package: NLP
##
## Attaching package: 'NLP'
##
## The following object is masked from 'package:ggplot2':
##
## annotate## label step_major step_minor bgn end
## 2 extract.features_factorize.str.vars 2 0 15.412 16.596
## 3 extract.features_process.text 3 0 16.597 NA
## elapsed
## 2 1.184
## 3 NA
## [1] "Building glb_txt_lst..."
## [1] "running gsub for 10 (of 178): #\\bCentral African Republic\\b#..."
## [1] "running gsub for 20 (of 178): #\\bAlejandro G\\. Iñárritu#..."
## [1] "running gsub for 30 (of 178): #\\bC\\.A\\.A\\.#..."
## [1] "running gsub for 40 (of 178): #\\bCV\\.#..."
## [1] "running gsub for 50 (of 178): #\\bE\\.P\\.A\\.#..."
## [1] "running gsub for 60 (of 178): #\\bG\\.I\\. Joe#..."
## [1] "running gsub for 70 (of 178): #\\bISIS\\.#..."
## [1] "running gsub for 80 (of 178): #\\bJ\\.K\\. Simmons#..."
## [1] "running gsub for 90 (of 178): #\\bM\\. Henri Pol#..."
## [1] "running gsub for 100 (of 178): #\\bN\\.Y\\.S\\.E\\.#..."
## [1] "running gsub for 110 (of 178): #\\bR\\.B\\.S\\.#..."
## [1] "running gsub for 120 (of 178): #\\bSteven A\\. Cohen#..."
## [1] "running gsub for 130 (of 178): #\\bV\\.A\\.#..."
## [1] "running gsub for 140 (of 178): #\\bWall Street#..."
## [1] "running gsub for 150 (of 178): #\\bSaint( |-)((Laurent|Lucia)\\b)+#..."
## [1] "running gsub for 160 (of 178): #\\bSouth( |\\\\.)(America|American|Africa|African|Carolina|Dakota|Korea|Korean|Sudan)\\b#..."
## [1] "running gsub for 170 (of 178): #(\\w)-a-year#..."
## [1] "Remaining OK in descr.my:"## Loading required package: sqldf
## Loading required package: RSQLite
## Loading required package: DBI
## Loading required package: tcltk## pattern .n
## 1 OK 6
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN: Device has at least one or more problems: \nFor Parts or Repair"
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN DEVICE: Problem with Apple ID"
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN: Device has at least one or more problems: \nFor Parts or Repair"
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN: Device has at least one or more problems: \nFor Parts or Repair"
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN: Device has at least one or more problems: \nFor Parts or Repair"
## [[1]]
## [1] 3
## attr(,"match.length")
## [1] 2
## attr(,"useBytes")
## [1] TRUE
## attr(,"capture.start")
##
## [1,] 0 0
## attr(,"capture.length")
##
## [1,] 0 0
## attr(,"capture.names")
## [1] "" ""
##
## [1] "ROKEN SCREEN"
## [1] pattern .n
## <0 rows> (or 0-length row.names)
## [1] pattern .n
## <0 rows> (or 0-length row.names)
## [1] "Remaining Acronyms in descr.my:"
## [1] pattern .n
## <0 rows> (or 0-length row.names)
## pattern .n
## 1 CONDITION. 8
## 2 ONLY. 6
## 3 GB. 4
## 4 BOX. 2
## 5 CORNER. 2
## 6 ESN. 2
## 7 GOOD. 2
## 8 ICLOUD. 2
## 9 IPADS. 2
## 10 LOCKED. 2
## 11 LOCKS. 2
## 12 ONLY. 2
## 13 SCRATCHES. 2
## 14 TEARS. 2
## 15 USE. 2
## [1] "Remaining #\\b(Fort|Ft\\.|Hong|Las|Los|New|Puerto|Saint|San|St\\.)( |-)(\\w)+# terms in descr.my: "
## pattern .n
## 2 New Open 3
## 4 New Condition 2
## 7 New Digitizer 1
## 8 New Opened 1
## 9 New Scratch 1
## 10 New Screen 1
## [1] " consider cleaning if relevant to problem domain; geography name; .n > 1"
## [1] "Remaining #\\b(N|S|E|W|C)( |\\.)(\\w)+# terms in descr.my: "
## pattern .n
## 1 C Stock 3
## 2 W blue 1
## [1] "Remaining #\\b(North|South|East|West|Central)( |\\.)(\\w)+# terms in descr.my: "
## label step_major
## 3 extract.features_process.text 3
## 4 extract.features_process.text_reporting_compound_terms 3
## step_minor bgn end elapsed
## 3 0 16.597 18.486 1.889
## 4 1 18.486 NA NA
## [1] "Remaining compound terms in descr.my: "
## label step_major
## 4 extract.features_process.text_reporting_compound_terms 3
## 5 extract.features_build.corpus 4
## step_minor bgn end elapsed
## 4 1 18.486 18.49 0.004
## 5 0 18.491 NA NA
## [1] "Building glb_corpus_lst..."
## [1] " Top_n stop TfIDf terms for descr.my:"## Warning in weighting(x): empty document(s): character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) charact## Warning in cor(TfIdf_mtrx, as.numeric(glb_allobs_df[, glb_txt_cor_var]), :
## the standard deviation is zero## [1] "Rows: 899; Cols: 9"
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## condition 207.6197 condition 498 165 -0.0426588315 0.0426588315 82.44452
## new 124.1683 new 156 523 -0.0372353149 0.0372353149 50.77429
## used 121.8672 used 240 855 0.0146439599 0.0146439599 40.84209
## good 120.2664 good 197 342 -0.0002812515 0.0002812515 44.51689
## scratches 112.5796 scratches 254 687 -0.0061691062 0.0061691062 44.23566
## screen 104.9197 screen 210 689 0.0230340341 0.0230340341 36.36712
## TfIdf.1 TfIdf.NA
## condition 56.11620 69.05897
## new 30.11628 43.27771
## used 39.75401 41.27105
## good 38.21866 37.53088
## scratches 36.53015 31.81375
## screen 37.40353 31.14910
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## correctly 5.0298080 correctly 5 186 -0.03730252 0.03730252 3.0178848
## headphone 2.0174744 headphone 2 364 -0.02152502 0.02152502 0.8646319
## guarantee 1.6250832 guarantee 1 348 -0.02152502 0.02152502 1.6250832
## real 1.2639536 real 1 638 -0.02152502 0.02152502 1.2639536
## dont 1.0341439 dont 1 248 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 347 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## correctly 0.0000000 2.011923
## headphone 0.0000000 1.152843
## guarantee 0.0000000 0.000000
## real 0.0000000 0.000000
## dont 1.0341439 0.000000
## grey 0.7583722 0.000000
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## red 0.8125416 red 1 648 NA NA 0.0000000
## version 0.8125416 version 1 862 -0.02152502 0.02152502 0.8125416
## adaptor 0.7583722 adaptor 1 36 0.02500407 0.02500407 0.0000000
## divider 0.7583722 divider 1 243 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 347 0.02500407 0.02500407 0.0000000
## hdmi 0.7583722 hdmi 1 363 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## red 0.0000000 0.8125416
## version 0.0000000 0.0000000
## adaptor 0.7583722 0.0000000
## divider 0.7583722 0.0000000
## grey 0.7583722 0.0000000
## hdmi 0.7583722 0.0000000
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## red 0.8125416 red 1 648 NA NA 0.0000000
## version 0.8125416 version 1 862 -0.02152502 0.02152502 0.8125416
## adaptor 0.7583722 adaptor 1 36 0.02500407 0.02500407 0.0000000
## divider 0.7583722 divider 1 243 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 347 0.02500407 0.02500407 0.0000000
## hdmi 0.7583722 hdmi 1 363 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## red 0.0000000 0.8125416
## version 0.0000000 0.0000000
## adaptor 0.7583722 0.0000000
## divider 0.7583722 0.0000000
## grey 0.7583722 0.0000000
## hdmi 0.7583722 0.0000000## Warning in weighting(x): empty document(s): character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) charact## [1] " Top_n stem TfIDf terms for descr.my:"## Warning in weighting(x): empty document(s): character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) charact## Warning in cor(TfIdf_mtrx, as.numeric(glb_allobs_df[, glb_txt_cor_var]), :
## the standard deviation is zero## [1] "Rows: 747; Cols: 9"
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## condit 207.7156 condit 499 137 -0.0418798096 0.0418798096 82.38883
## use 144.7700 use 291 709 0.0103720246 0.0103720246 51.46753
## scratch 126.4831 scratch 286 565 -0.0088060862 0.0088060862 49.35848
## new 124.1683 new 156 429 -0.0372353149 0.0372353149 50.77429
## good 120.3335 good 197 281 -0.0004368629 0.0004368629 44.58392
## screen 105.7897 screen 213 566 0.0232373651 0.0232373651 36.89203
## TfIdf.1 TfIdf.NA
## condit 56.35056 68.97623
## use 47.66515 45.63736
## scratch 40.20165 36.92302
## new 30.11628 43.27771
## good 38.21866 37.53088
## screen 37.92265 30.97500
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## see 47.840365 see 53 573 0.004143357 0.004143357 17.631219
## small 31.644189 small 46 609 -0.001073854 0.001073854 11.168239
## upgrad 7.864791 upgrad 5 705 0.035370611 0.035370611 0.000000
## lighten 2.240183 lighten 2 362 -0.030076173 0.030076173 2.240183
## logic 1.625083 logic 1 374 0.025004068 0.025004068 0.000000
## discolor 1.421948 discolor 1 190 -0.021525023 0.021525023 1.421948
## TfIdf.1 TfIdf.NA
## see 16.501545 13.707601
## small 9.437755 11.038194
## upgrad 3.017885 4.846906
## lighten 0.000000 0.000000
## logic 1.625083 0.000000
## discolor 0.000000 0.000000
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## red 0.8125416 red 1 532 NA NA 0.0000000
## version 0.8125416 version 1 716 -0.02152502 0.02152502 0.8125416
## adaptor 0.7583722 adaptor 1 31 0.02500407 0.02500407 0.0000000
## divid 0.7583722 divid 1 194 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 286 0.02500407 0.02500407 0.0000000
## hdmi 0.7583722 hdmi 1 297 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## red 0.0000000 0.8125416
## version 0.0000000 0.0000000
## adaptor 0.7583722 0.0000000
## divid 0.7583722 0.0000000
## grey 0.7583722 0.0000000
## hdmi 0.7583722 0.0000000
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## red 0.8125416 red 1 532 NA NA 0.0000000
## version 0.8125416 version 1 716 -0.02152502 0.02152502 0.8125416
## adaptor 0.7583722 adaptor 1 31 0.02500407 0.02500407 0.0000000
## divid 0.7583722 divid 1 194 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 286 0.02500407 0.02500407 0.0000000
## hdmi 0.7583722 hdmi 1 297 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## red 0.0000000 0.8125416
## version 0.0000000 0.0000000
## adaptor 0.7583722 0.0000000
## divid 0.7583722 0.0000000
## grey 0.7583722 0.0000000
## hdmi 0.7583722 0.0000000## Warning in weighting(x): empty document(s): character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) charact## [,1]
## terms.n.post.stop -0.08493281
## terms.n.post.stop.log -0.10444457
## TfIdf.sum.post.stop -0.12224247
## terms.n.post.stem -0.08418042
## terms.n.post.stem.log -0.10414973
## TfIdf.sum.post.stem -0.12006536
## terms.n.stem.stop.Ratio 0.04385297
## TfIdf.sum.stem.stop.Ratio 0.09811892
## label step_major step_minor bgn end
## 5 extract.features_build.corpus 4 0 18.491 29.046
## 6 extract.features_extract.DTM 5 0 29.046 NA
## elapsed
## 5 10.555
## 6 NA
## [1] "Extracting TfIDf terms for descr.my..."## Warning in weighting(x): empty document(s): character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
## character(0) character(0) character(0) character(0) character(0)
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## character(0) charact## label step_major step_minor bgn end elapsed
## 6 extract.features_extract.DTM 5 0 29.046 30.276 1.231
## 7 extract.features_report.DTM 6 0 30.277 NA NA## Loading required package: reshape2## [1] "Reporting TfIDf terms for descr.my..."
## [1] " Full TermMatrix:"
## <<DocumentTermMatrix (documents: 2657, terms: 747)>>
## Non-/sparse entries: 8448/1976331
## Sparsity : 100%
## Maximal term length: 15
## Weighting : term frequency - inverse document frequency (normalized) (tf-idf)## Warning in cor(TfIdf_mtrx, as.numeric(glb_allobs_df[, glb_txt_cor_var]), :
## the standard deviation is zero## [1] " Sparse TermMatrix:"
## <<DocumentTermMatrix (documents: 2657, terms: 8)>>
## Non-/sparse entries: 2072/19184
## Sparsity : 90%
## Maximal term length: 7
## Weighting : term frequency - inverse document frequency (normalized) (tf-idf)## Warning in myplot_scatter(plt_TfIdf_df, "freq.full", "TfIdf.full",
## colorcol_name = "in.sprs"): converting in.sprs to class:factor
## Warning: Removed 6 rows containing missing values (geom_path).## Warning: Removed 6 rows containing missing values (geom_path).## Warning: Removed 6 rows containing missing values (geom_path).
## Warning in rm(full_TfIdf_mtrx, full_TfIdf_df, melt_TfIdf_df,
## terms_TfIdf_df): object 'full_TfIdf_mtrx' not found## label step_major step_minor bgn end elapsed
## 7 extract.features_report.DTM 6 0 30.277 32.509 2.232
## 8 extract.features_bind.DTM 7 0 32.509 NA NA## Loading required package: tidyr## [1] "Binding DTM for descr.my..."## Warning in cor(TfIdf_mtrx, as.numeric(glb_allobs_df[, glb_txt_cor_var]), :
## the standard deviation is zero
## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 83 rows containing missing values (geom_point).## Warning: Removed 659 rows containing missing values (geom_text).## Warning: Removed 659 rows containing missing values (geom_text).## Warning: Removed 659 rows containing missing values (geom_text).## Warning: Removed 659 rows containing missing values (geom_text).## label step_major step_minor bgn end elapsed
## 8 extract.features_bind.DTM 7 0 32.509 39.32 6.811
## 9 extract.features_bind.DXM 8 0 39.320 NA NA
## [1] "Binding DXM for descr.my..."## Warning in rm(log_X_df, txt_X_df): object 'log_X_df' not found
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
# Use model info provided in description
mydsp_obs(list(description.contains="a[[:digit:]]"), cols=glb_dsp_cols, all=TRUE)## UniqueID startprice prdline.my sold .grpid color condition cellular
## 618 10618 100 iPad mini 1 <NA> Black Used 0
## 940 10940 350 iPad 3 0 <NA> Black Used 1
## 2472 12474 190 Unknown NA <NA> Unknown Used Unknown
## carrier storage
## 618 None 16
## 940 Verizon 16
## 2472 Unknown Unknown
## descr.my
## 618 Nice Apple iPad Mini 16GB Wi- Fi 7.9" spacegray MF432LL/ A A1432 Locked It does work just cannot
## 940 LIKE NEW (MODEL A1430) + BLUETOOTH KEYBOARD (LATEST MODEL A1314), LEATHER CREAM SMART COVER, BLACK
## 2472 here we have spacegray apple ipad mini a1432 no charger works great has small nicks nothing majorglb_allobs_df[glb_allobs_df$UniqueID == 12474, "prdline.my"] <- "iPad mini"
glb_allobs_df[glb_allobs_df$UniqueID == 12474, "color"] <- "Space Gray"
glb_allobs_df[glb_allobs_df$UniqueID == 12474, "cellular"] <- "0"
glb_allobs_df[glb_allobs_df$UniqueID == 12474, "carrier"] <- "None"
mydsp_obs(list(description.contains="m(.{4})ll"), cols=glb_dsp_cols, all=TRUE)## UniqueID startprice prdline.my sold .grpid color
## 617 10617 0.99 iPad 2 1 <NA> White
## 618 10618 100.00 iPad mini 1 <NA> Black
## 992 10992 110.00 iPad 2 0 <NA> White
## 1105 11105 303.67 iPad mini Retina 0 <NA> Gold
## 1359 11360 200.00 iPad 3 0 <NA> Unknown
## 1360 11361 0.99 Unknown 1 <NA> Unknown
## 1365 11366 125.00 iPad 1 1 <NA> Unknown
## 2637 12639 49.99 iPad 2 NA <NA> Black
## condition cellular carrier storage
## 617 Used 0 None 64
## 618 Used 0 None 16
## 992 Used 0 None 16
## 1105 Used 0 None 16
## 1359 Used Unknown Unknown Unknown
## 1360 Used Unknown Unknown Unknown
## 1365 Used Unknown Unknown Unknown
## 2637 For parts or not working 0 None 64
## descr.my
## 617 This a used Apple iPad 2 64GB, Wi- Fi, 9.7in - White (MC991LL/ A) shows signs of wear, has been
## 618 Nice Apple iPad Mini 16GB Wi- Fi 7.9" spacegray MF432LL/ A A1432 Locked It does work just cannot
## 992 Up for auction is this APPLE iPad 1st Gen Model MB292LL 16 GB of Memory Storage 9.7" touch screen
## 1105 Like New Condition Apple iPad Mini 3 MGYE2LL/ A 16GB Wi- Fi Gold Version Tablet/ eReader. Includes USB
## 1359 iPad 3 Black 64Gb storage Model Mc707ll/ a iPad is in very nice shape, glass and case
## 1360 APPLE iPAD AIR 32GB WHITE MD789LL/ B WHITE. This item is Previously Lightly Used, in Good Condition.
## 1365 Item still in complete working order, minor scratches, normal wear and tear but no damage. screen is
## 2637 IPAD 2 64GB BLACK MODEL MC916LL/ A WIFI ONLY MODEL. PICTURE OF IPAD IS ACTUAL UNIT YOU WILL RECEIVE.glb_allobs_df[glb_allobs_df$UniqueID == 11360, "color"] <- "Black"
glb_allobs_df[glb_allobs_df$UniqueID == 11360, "storage"] <- "64"
glb_allobs_df[glb_allobs_df$UniqueID == 11360, "cellular"] <- "0"
glb_allobs_df[glb_allobs_df$UniqueID == 11360, "carrier"] <- "None"
glb_allobs_df[glb_allobs_df$UniqueID == 11361, "prdline.my"] <- "iPad Air"
glb_allobs_df[glb_allobs_df$UniqueID == 11361, "storage"] <- "32"
glb_allobs_df[glb_allobs_df$UniqueID == 11361, "color"] <- "White"
glb_allobs_df[glb_allobs_df$UniqueID == 11361, "cellular"] <- "0"
glb_allobs_df[glb_allobs_df$UniqueID == 11361, "carrier"] <- "None"
# mydsp_obs(list(description.contains="mini(?!m)"), perl=TRUE, cols="D.P.mini", all=TRUE)
# mydsp_obs(list(D.P.mini=1), cols="D.P.mini", all=TRUE)
# mydsp_obs(list(D.P.mini=1, productline="Unknown"), cols="D.P.mini", all=TRUE)
# mydsp_obs(list(description.contains="(?<![fhp])air"), perl=TRUE, all=TRUE)
# mydsp_obs(list(description.contains="air"), perl=FALSE, cols="D.P.air", all=TRUE)
# mydsp_obs(list(D.P.air=1, productline="Unknown"), cols="D.P.air", all=TRUE)
print(mycreate_sqlxtab_df(glb_allobs_df, c("prdline.my", "productline", "D.P.mini",
glb_rsp_var)))## prdline.my productline D.P.mini startprice .n
## 1 iPad 2 iPad 2 0 0.99 38
## 2 iPad mini iPad mini 0 0.99 30
## 3 iPad 1 iPad 1 0 0.99 26
## 4 Unknown Unknown 0 0.99 25
## 5 iPad 1 iPad 1 0 50.00 22
## 6 iPad mini iPad mini 0 150.00 20
## 7 iPad Air iPad Air 0 0.99 17
## 8 iPad 2 iPad 2 0 150.00 16
## 9 iPad 4 iPad 4 0 0.99 15
## 10 iPad mini iPad mini 0 100.00 14
## 11 iPad 2 iPad 2 0 100.00 13
## 12 iPad Air 2 iPad Air 2 0 0.99 13
## 13 iPad mini 2 iPad mini 2 0 0.99 13
## 14 iPad 1 iPad 1 0 80.00 12
## 15 iPad 3 iPad 3 0 0.99 12
## 16 iPad 3 iPad 3 0 200.00 12
## 17 iPad 1 iPad 1 0 90.00 11
## 18 iPad 2 iPad 2 0 175.00 11
## 19 Unknown Unknown 0 150.00 10
## 20 iPad 1 iPad 1 0 75.00 10
## 21 iPad 1 iPad 1 0 100.00 10
## 22 iPad 2 iPad 2 0 0.01 10
## 23 iPad 3 iPad 3 0 250.00 10
## 24 iPad mini iPad mini 0 50.00 10
## 25 iPad mini iPad mini 0 99.99 10
## 26 Unknown Unknown 0 100.00 9
## 27 iPad 2 iPad 2 0 99.99 9
## 28 iPad 2 iPad 2 0 149.99 9
## 29 iPad 2 iPad 2 0 199.99 9
## 30 iPad Air iPad Air 0 300.00 9
## 31 iPad mini iPad mini 0 199.99 9
## 32 Unknown Unknown 0 300.00 8
## 33 iPad 1 iPad 1 0 95.00 8
## 34 iPad 2 iPad 2 0 99.00 8
## 35 iPad 2 iPad 2 0 125.00 8
## 36 iPad 2 iPad 2 0 200.00 8
## 37 iPad 4 iPad 4 0 249.99 8
## 38 iPad Air 2 iPad Air 2 0 550.00 8
## 39 iPad mini iPad mini 0 200.00 8
## 40 iPad mini 2 iPad mini 2 0 350.00 8
## 41 Unknown Unknown 0 50.00 7
## 42 iPad 1 iPad 1 0 70.00 7
## 43 iPad 2 iPad 2 0 9.99 7
## 44 iPad 2 iPad 2 0 75.00 7
## 45 iPad 2 iPad 2 0 180.00 7
## 46 iPad 4 iPad 4 0 199.99 7
## 47 iPad mini iPad mini 0 99.00 7
## 48 iPad mini 3 iPad mini 3 0 0.99 7
## 49 iPad 1 iPad 1 0 1.00 6
## 50 iPad 2 iPad 2 0 50.00 6
## 51 iPad 2 iPad 2 0 160.00 6
## 52 iPad 4 iPad 4 0 100.00 6
## 53 iPad 4 iPad 4 0 150.00 6
## 54 iPad 4 iPad 4 0 279.99 6
## 55 iPad Air iPad Air 0 1.00 6
## 56 iPad Air iPad Air 0 200.00 6
## 57 iPad Air iPad Air 0 400.00 6
## 58 iPad Air 2 iPad Air 2 0 450.00 6
## 59 iPad mini iPad mini 0 75.00 6
## 60 iPad mini iPad mini 0 89.99 6
## 61 iPad mini iPad mini 0 159.99 6
## 62 iPad mini iPad mini 0 175.00 6
## 63 iPad 1 iPad 1 0 29.99 5
## 64 iPad 1 iPad 1 0 55.00 5
## 65 iPad 1 iPad 1 0 79.99 5
## 66 iPad 1 iPad 1 0 99.00 5
## 67 iPad 2 iPad 2 0 80.00 5
## 68 iPad 2 iPad 2 0 165.00 5
## 69 iPad 2 iPad 2 0 179.00 5
## 70 iPad 3 iPad 3 0 99.00 5
## 71 iPad 3 iPad 3 0 150.00 5
## 72 iPad 3 iPad 3 0 220.00 5
## 73 iPad 3 iPad 3 0 225.00 5
## 74 iPad 3 iPad 3 0 300.00 5
## 75 iPad 4 iPad 4 0 250.00 5
## 76 iPad 4 iPad 4 0 400.00 5
## 77 iPad Air iPad Air 0 100.00 5
## 78 iPad Air iPad Air 0 250.00 5
## 79 iPad Air iPad Air 0 350.00 5
## 80 iPad Air iPad Air 0 389.99 5
## 81 iPad Air 2 iPad Air 2 0 499.99 5
## 82 iPad mini iPad mini 0 1.00 5
## 83 iPad mini iPad mini 0 250.00 5
## 84 iPad mini iPad mini 0 350.00 5
## 85 iPad mini 2 iPad mini 2 0 200.00 5
## 86 iPad mini 2 iPad mini 2 0 225.00 5
## 87 Unknown Unknown 0 25.00 4
## 88 Unknown Unknown 0 149.99 4
## 89 Unknown Unknown 0 250.00 4
## 90 iPad 1 iPad 1 0 40.00 4
## 91 iPad 1 iPad 1 0 49.99 4
## 92 iPad 1 iPad 1 0 79.00 4
## 93 iPad 1 iPad 1 0 105.00 4
## 94 iPad 1 iPad 1 0 110.00 4
## 95 iPad 2 iPad 2 0 1.00 4
## 96 iPad 2 iPad 2 0 40.00 4
## 97 iPad 2 iPad 2 0 49.99 4
## 98 iPad 2 iPad 2 0 130.00 4
## 99 iPad 2 iPad 2 0 140.00 4
## 100 iPad 2 iPad 2 0 155.00 4
## 101 iPad 2 iPad 2 0 164.99 4
## 102 iPad 2 iPad 2 0 174.99 4
## 103 iPad 2 iPad 2 0 179.99 4
## 104 iPad 2 iPad 2 0 189.99 4
## 105 iPad 2 iPad 2 0 250.00 4
## 106 iPad 3 iPad 3 0 9.99 4
## 107 iPad 3 iPad 3 0 100.00 4
## 108 iPad 3 iPad 3 0 149.99 4
## 109 iPad 3 iPad 3 0 175.00 4
## 110 iPad 3 iPad 3 0 199.99 4
## 111 iPad 3 iPad 3 0 219.99 4
## 112 iPad 3 iPad 3 0 249.99 4
## 113 iPad 3 iPad 3 0 275.00 4
## 114 iPad 4 iPad 4 0 0.01 4
## 115 iPad 4 iPad 4 0 99.99 4
## 116 iPad 4 iPad 4 0 200.00 4
## 117 iPad 4 iPad 4 0 299.00 4
## 118 iPad Air iPad Air 0 199.99 4
## 119 iPad Air iPad Air 0 229.00 4
## 120 iPad Air iPad Air 0 279.99 4
## 121 iPad Air iPad Air 0 325.00 4
## 122 iPad Air iPad Air 0 329.99 4
## 123 iPad Air iPad Air 0 500.00 4
## 124 iPad Air 2 iPad Air 2 0 250.00 4
## 125 iPad Air 2 iPad Air 2 0 350.00 4
## 126 iPad Air 2 iPad Air 2 0 399.00 4
## 127 iPad Air 2 iPad Air 2 0 399.99 4
## 128 iPad Air 2 iPad Air 2 0 400.00 4
## 129 iPad Air 2 iPad Air 2 0 499.00 4
## 130 iPad Air 2 iPad Air 2 0 500.00 4
## 131 iPad Air 2 iPad Air 2 0 549.99 4
## 132 iPad mini iPad mini 0 119.99 4
## 133 iPad mini iPad mini 0 130.00 4
## 134 iPad mini iPad mini 0 199.00 4
## 135 iPad mini iPad mini 0 275.00 4
## 136 iPad mini iPad mini 0 300.00 4
## 137 iPad mini iPad mini 1 0.99 4
## 138 iPad mini 2 iPad mini 2 0 175.00 4
## 139 iPad mini 2 iPad mini 2 0 250.00 4
## 140 iPad mini 3 iPad mini 3 0 325.00 4
## 141 iPad mini 3 iPad mini 3 0 499.99 4
## 142 iPad mini 3 iPad mini 3 0 599.99 4
## 143 Unknown Unknown 0 15.00 3
## 144 Unknown Unknown 0 40.00 3
## 145 Unknown Unknown 0 75.00 3
## 146 Unknown Unknown 0 99.00 3
## 147 Unknown Unknown 0 120.00 3
## 148 Unknown Unknown 0 199.00 3
## 149 Unknown Unknown 0 199.99 3
## 150 Unknown Unknown 0 200.00 3
## 151 Unknown Unknown 0 249.00 3
## 152 Unknown Unknown 0 249.99 3
## 153 Unknown Unknown 0 299.99 3
## 154 Unknown Unknown 0 319.00 3
## 155 Unknown Unknown 0 350.00 3
## 156 iPad 1 iPad 1 0 0.01 3
## 157 iPad 1 iPad 1 0 19.99 3
## 158 iPad 1 iPad 1 0 20.00 3
## 159 iPad 1 iPad 1 0 25.00 3
## 160 iPad 1 iPad 1 0 30.00 3
## 161 iPad 1 iPad 1 0 36.95 3
## 162 iPad 1 iPad 1 0 65.00 3
## 163 iPad 1 iPad 1 0 84.99 3
## 164 iPad 1 iPad 1 0 85.00 3
## 165 iPad 1 iPad 1 0 89.00 3
## 166 iPad 1 iPad 1 0 99.99 3
## 167 iPad 1 iPad 1 0 119.99 3
## 168 iPad 1 iPad 1 0 150.00 3
## 169 iPad 1 iPad 1 0 180.00 3
## 170 iPad 2 iPad 2 0 30.00 3
## 171 iPad 2 iPad 2 0 70.00 3
## 172 iPad 2 iPad 2 0 85.00 3
## 173 iPad 2 iPad 2 0 89.99 3
## 174 iPad 2 iPad 2 0 90.00 3
## 175 iPad 2 iPad 2 0 120.00 3
## 176 iPad 2 iPad 2 0 129.95 3
## 177 iPad 2 iPad 2 0 129.99 3
## 178 iPad 2 iPad 2 0 139.00 3
## 179 iPad 2 iPad 2 0 149.00 3
## 180 iPad 2 iPad 2 0 149.95 3
## 181 iPad 2 iPad 2 0 154.00 3
## 182 iPad 2 iPad 2 0 159.99 3
## 183 iPad 2 iPad 2 0 169.00 3
## 184 iPad 2 iPad 2 0 249.97 3
## 185 iPad 2 iPad 2 0 275.00 3
## 186 iPad 2 iPad 2 0 300.00 3
## 187 iPad 3 iPad 3 0 1.00 3
## 188 iPad 3 iPad 3 0 10.00 3
## 189 iPad 3 iPad 3 0 99.99 3
## 190 iPad 3 iPad 3 0 128.00 3
## 191 iPad 3 iPad 3 0 185.00 3
## 192 iPad 3 iPad 3 0 187.50 3
## 193 iPad 3 iPad 3 0 199.00 3
## 194 iPad 4 iPad 4 0 50.00 3
## 195 iPad 4 iPad 4 0 225.00 3
## 196 iPad 4 iPad 4 0 259.99 3
## 197 iPad 4 iPad 4 0 275.00 3
## 198 iPad 4 iPad 4 0 280.00 3
## 199 iPad 4 iPad 4 0 300.00 3
## 200 iPad 4 iPad 4 0 320.00 3
## 201 iPad Air iPad Air 0 90.00 3
## 202 iPad Air iPad Air 0 290.00 3
## 203 iPad Air iPad Air 0 299.99 3
## 204 iPad Air iPad Air 0 320.00 3
## 205 iPad Air iPad Air 0 349.00 3
## 206 iPad Air iPad Air 0 379.00 3
## 207 iPad Air iPad Air 0 415.00 3
## 208 iPad Air iPad Air 0 449.99 3
## 209 iPad Air 2 iPad Air 2 0 1.00 3
## 210 iPad Air 2 iPad Air 2 0 50.00 3
## 211 iPad Air 2 iPad Air 2 0 199.99 3
## 212 iPad Air 2 iPad Air 2 0 425.00 3
## 213 iPad Air 2 iPad Air 2 0 439.99 3
## 214 iPad Air 2 iPad Air 2 0 480.00 3
## 215 iPad Air 2 iPad Air 2 0 525.00 3
## 216 iPad Air 2 iPad Air 2 0 560.00 3
## 217 iPad mini iPad mini 0 0.01 3
## 218 iPad mini iPad mini 0 20.00 3
## 219 iPad mini iPad mini 0 25.00 3
## 220 iPad mini iPad mini 0 45.00 3
## 221 iPad mini iPad mini 0 60.00 3
## 222 iPad mini iPad mini 0 125.00 3
## 223 iPad mini iPad mini 0 149.00 3
## 224 iPad mini iPad mini 0 160.00 3
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## 314 iPad 2 iPad 2 0 179.95 2
## 315 iPad 2 iPad 2 0 204.00 2
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## 340 iPad 4 iPad 4 0 199.00 2
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## 352 iPad 4 iPad 4 0 315.00 2
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## 359 iPad 4 iPad 4 0 500.00 2
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## 444 iPad mini 2 iPad mini 2 0 299.00 2
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## 596 iPad 1 iPad 1 0 9.95 1
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## 611 iPad 1 iPad 1 0 59.99 1
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## 614 iPad 1 iPad 1 0 74.00 1
## 615 iPad 1 iPad 1 0 74.50 1
## 616 iPad 1 iPad 1 0 74.99 1
## 617 iPad 1 iPad 1 0 78.00 1
## 618 iPad 1 iPad 1 0 79.94 1
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## 620 iPad 1 iPad 1 0 82.98 1
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## 624 iPad 1 iPad 1 0 92.00 1
## 625 iPad 1 iPad 1 0 93.00 1
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## 630 iPad 1 iPad 1 0 102.00 1
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## 633 iPad 1 iPad 1 0 109.98 1
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## 640 iPad 1 iPad 1 0 129.95 1
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## 643 iPad 1 iPad 1 0 149.00 1
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## 645 iPad 1 iPad 1 0 149.98 1
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## 647 iPad 1 iPad 1 0 155.00 1
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## 650 iPad 1 iPad 1 0 170.00 1
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## 655 iPad 1 iPad 1 0 200.00 1
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## 660 iPad 1 iPad 1 0 229.00 1
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## 666 iPad 1 iPad 1 0 275.00 1
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## 696 iPad 2 iPad 2 0 111.50 1
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## 700 iPad 2 iPad 2 0 121.00 1
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## 1033 iPad Air 2 iPad Air 2 0 399.95 1
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## 1112 iPad mini Unknown 1 190.00 1
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## 1224 iPad mini iPad mini 0 499.99 1
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## 1227 iPad mini iPad mini 1 9.99 1
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## 1229 iPad mini iPad mini 1 100.00 1
## 1230 iPad mini iPad mini 1 149.00 1
## 1231 iPad mini iPad mini 1 169.99 1
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## 1233 iPad mini iPad mini 1 429.00 1
## 1234 iPad mini iPad mini 2 99.99 1
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## 1256 iPad mini 2 iPad mini 2 0 222.72 1
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## 1258 iPad mini 2 iPad mini 2 0 229.00 1
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## 1280 iPad mini 2 iPad mini 2 0 379.99 1
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## 1295 iPad mini 2 iPad mini 2 0 550.00 1
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## 1297 iPad mini 2 iPad mini 2 0 595.00 1
## 1298 iPad mini 2 iPad mini 2 1 195.00 1
## 1299 iPad mini 2 iPad mini 2 1 201.99 1
## 1300 iPad mini 2 iPad mini 2 1 225.00 1
## 1301 iPad mini 2 iPad mini 2 1 238.80 1
## 1302 iPad mini 2 iPad mini 2 1 249.00 1
## 1303 iPad mini 2 iPad mini 2 1 300.00 1
## 1304 iPad mini 2 iPad mini 2 1 350.25 1
## 1305 iPad mini 3 iPad mini 3 0 0.45 1
## 1306 iPad mini 3 iPad mini 3 0 9.95 1
## 1307 iPad mini 3 iPad mini 3 0 25.00 1
## 1308 iPad mini 3 iPad mini 3 0 100.00 1
## 1309 iPad mini 3 iPad mini 3 0 149.00 1
## 1310 iPad mini 3 iPad mini 3 0 175.00 1
## 1311 iPad mini 3 iPad mini 3 0 197.97 1
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## 1313 iPad mini 3 iPad mini 3 0 249.00 1
## 1314 iPad mini 3 iPad mini 3 0 250.00 1
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## 1317 iPad mini 3 iPad mini 3 0 299.00 1
## 1318 iPad mini 3 iPad mini 3 0 309.95 1
## 1319 iPad mini 3 iPad mini 3 0 329.00 1
## 1320 iPad mini 3 iPad mini 3 0 331.99 1
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## 1322 iPad mini 3 iPad mini 3 0 334.00 1
## 1323 iPad mini 3 iPad mini 3 0 335.00 1
## 1324 iPad mini 3 iPad mini 3 0 339.50 1
## 1325 iPad mini 3 iPad mini 3 0 339.98 1
## 1326 iPad mini 3 iPad mini 3 0 340.00 1
## 1327 iPad mini 3 iPad mini 3 0 349.95 1
## 1328 iPad mini 3 iPad mini 3 0 349.99 1
## 1329 iPad mini 3 iPad mini 3 0 359.00 1
## 1330 iPad mini 3 iPad mini 3 0 359.99 1
## 1331 iPad mini 3 iPad mini 3 0 370.00 1
## 1332 iPad mini 3 iPad mini 3 0 379.95 1
## 1333 iPad mini 3 iPad mini 3 0 379.99 1
## 1334 iPad mini 3 iPad mini 3 0 380.00 1
## 1335 iPad mini 3 iPad mini 3 0 385.00 1
## 1336 iPad mini 3 iPad mini 3 0 394.99 1
## 1337 iPad mini 3 iPad mini 3 0 399.00 1
## 1338 iPad mini 3 iPad mini 3 0 419.95 1
## 1339 iPad mini 3 iPad mini 3 0 425.00 1
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## 1341 iPad mini 3 iPad mini 3 0 439.99 1
## 1342 iPad mini 3 iPad mini 3 0 445.95 1
## 1343 iPad mini 3 iPad mini 3 0 449.95 1
## 1344 iPad mini 3 iPad mini 3 0 450.00 1
## 1345 iPad mini 3 iPad mini 3 0 459.99 1
## 1346 iPad mini 3 iPad mini 3 0 469.99 1
## 1347 iPad mini 3 iPad mini 3 0 475.00 1
## 1348 iPad mini 3 iPad mini 3 0 485.00 1
## 1349 iPad mini 3 iPad mini 3 0 510.00 1
## 1350 iPad mini 3 iPad mini 3 0 525.00 1
## 1351 iPad mini 3 iPad mini 3 0 529.99 1
## 1352 iPad mini 3 iPad mini 3 0 549.99 1
## 1353 iPad mini 3 iPad mini 3 0 550.00 1
## 1354 iPad mini 3 iPad mini 3 0 559.99 1
## 1355 iPad mini 3 iPad mini 3 0 569.00 1
## 1356 iPad mini 3 iPad mini 3 0 575.00 1
## 1357 iPad mini 3 iPad mini 3 0 579.99 1
## 1358 iPad mini 3 iPad mini 3 0 609.99 1
## 1359 iPad mini 3 iPad mini 3 0 614.99 1
## 1360 iPad mini 3 iPad mini 3 0 639.99 1
## 1361 iPad mini 3 iPad mini 3 0 650.00 1
## 1362 iPad mini 3 iPad mini 3 0 689.99 1
## 1363 iPad mini 3 iPad mini 3 0 799.99 1
## 1364 iPad mini 3 iPad mini 3 0 948.98 1
## 1365 iPad mini 3 iPad mini 3 1 400.00 1
## 1366 iPad mini 3 iPad mini 3 1 419.99 1
## 1367 iPad mini 3 iPad mini 3 1 460.00 1
## 1368 iPad mini 3 iPad mini 3 1 499.99 1
## 1369 iPad mini 3 iPad mini 3 1 599.99 1
## 1370 iPad mini Retina iPad mini Retina 0 160.00 1
## 1371 iPad mini Retina iPad mini Retina 0 235.00 1
## 1372 iPad mini Retina iPad mini Retina 0 250.00 1
## 1373 iPad mini Retina iPad mini Retina 0 299.00 1
## 1374 iPad mini Retina iPad mini Retina 0 339.00 1
## 1375 iPad mini Retina iPad mini Retina 0 350.00 1
## 1376 iPad mini Retina iPad mini Retina 0 420.00 1
## 1377 iPad mini Retina iPad mini Retina 1 303.67 1print(glb_allobs_df[(glb_allobs_df$productline == "Unknown") &
(glb_allobs_df$D.P.mini > 0),
c(glb_id_var, glb_category_var, glb_dsp_cols, glb_txt_vars)])## UniqueID prdline.my sold .grpid color condition
## 1172 11172 Unknown 0 8 Unknown Used
## 1803 11804 Unknown 1 <NA> White Seller refurbished
## 2223 12225 Unknown NA 8 Unknown Used
## 2472 12474 iPad mini NA <NA> Space Gray Used
## 2623 12625 Unknown NA <NA> White For parts or not working
## cellular carrier storage
## 1172 Unknown Unknown 16
## 1803 1 AT&T Unknown
## 2223 Unknown Unknown 16
## 2472 0 None Unknown
## 2623 Unknown Unknown Unknown
## descr.my
## 1172 IPAD mini . not sure of what generation it can be. selling as is or best offer. had a crack but
## 1803 30 Day Warranty. Refurbished iPad Mini with signs of normal wear including possible scratching on
## 2223 IPAD mini . not sure of what generation it can be. selling as is or best offer. had a crack but
## 2472 here we have spacegray apple ipad mini a1432 no charger works great has small nicks nothing major
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may beglb_allobs_df[(glb_allobs_df$D.P.mini == 1) & (glb_allobs_df$productline == "Unknown"),
"prdline.my"] <- "iPad mini"
print(mycreate_sqlxtab_df(glb_allobs_df, c("prdline.my", "productline", "D.P.air",
glb_rsp_var)))## prdline.my productline D.P.air startprice .n
## 1 iPad 2 iPad 2 0 0.99 38
## 2 iPad mini iPad mini 0 0.99 34
## 3 iPad 1 iPad 1 0 0.99 26
## 4 Unknown Unknown 0 0.99 25
## 5 iPad 1 iPad 1 0 50.00 22
## 6 iPad mini iPad mini 0 150.00 20
## 7 iPad Air iPad Air 0 0.99 17
## 8 iPad 2 iPad 2 0 150.00 16
## 9 iPad 4 iPad 4 0 0.99 15
## 10 iPad mini iPad mini 0 100.00 15
## 11 iPad 2 iPad 2 0 100.00 13
## 12 iPad Air 2 iPad Air 2 0 0.99 13
## 13 iPad mini 2 iPad mini 2 0 0.99 13
## 14 iPad 1 iPad 1 0 80.00 12
## 15 iPad 3 iPad 3 0 0.99 12
## 16 iPad 3 iPad 3 0 200.00 12
## 17 iPad 1 iPad 1 0 90.00 11
## 18 iPad 2 iPad 2 0 175.00 11
## 19 iPad mini iPad mini 0 99.99 11
## 20 Unknown Unknown 0 150.00 10
## 21 iPad 1 iPad 1 0 75.00 10
## 22 iPad 1 iPad 1 0 100.00 10
## 23 iPad 2 iPad 2 0 0.01 10
## 24 iPad 3 iPad 3 0 250.00 10
## 25 iPad mini iPad mini 0 50.00 10
## 26 Unknown Unknown 0 100.00 9
## 27 iPad 2 iPad 2 0 99.99 9
## 28 iPad 2 iPad 2 0 149.99 9
## 29 iPad 2 iPad 2 0 199.99 9
## 30 iPad Air iPad Air 0 300.00 9
## 31 iPad mini iPad mini 0 199.99 9
## 32 Unknown Unknown 0 300.00 8
## 33 iPad 1 iPad 1 0 95.00 8
## 34 iPad 2 iPad 2 0 99.00 8
## 35 iPad 2 iPad 2 0 125.00 8
## 36 iPad 2 iPad 2 0 200.00 8
## 37 iPad 4 iPad 4 0 249.99 8
## 38 iPad Air 2 iPad Air 2 0 550.00 8
## 39 iPad mini iPad mini 0 200.00 8
## 40 iPad mini 2 iPad mini 2 0 350.00 8
## 41 Unknown Unknown 0 50.00 7
## 42 iPad 1 iPad 1 0 70.00 7
## 43 iPad 2 iPad 2 0 9.99 7
## 44 iPad 2 iPad 2 0 75.00 7
## 45 iPad 2 iPad 2 0 180.00 7
## 46 iPad 4 iPad 4 0 199.99 7
## 47 iPad mini iPad mini 0 99.00 7
## 48 iPad mini 3 iPad mini 3 0 0.99 7
## 49 iPad 1 iPad 1 0 1.00 6
## 50 iPad 2 iPad 2 0 50.00 6
## 51 iPad 2 iPad 2 0 160.00 6
## 52 iPad 4 iPad 4 0 100.00 6
## 53 iPad 4 iPad 4 0 150.00 6
## 54 iPad Air iPad Air 0 1.00 6
## 55 iPad Air iPad Air 0 200.00 6
## 56 iPad Air iPad Air 0 400.00 6
## 57 iPad Air 2 iPad Air 2 0 450.00 6
## 58 iPad mini iPad mini 0 75.00 6
## 59 iPad mini iPad mini 0 89.99 6
## 60 iPad mini iPad mini 0 159.99 6
## 61 iPad mini iPad mini 0 175.00 6
## 62 iPad mini iPad mini 0 199.00 6
## 63 iPad mini 2 iPad mini 2 0 225.00 6
## 64 iPad 1 iPad 1 0 29.99 5
## 65 iPad 1 iPad 1 0 55.00 5
## 66 iPad 1 iPad 1 0 79.99 5
## 67 iPad 1 iPad 1 0 99.00 5
## 68 iPad 2 iPad 2 0 80.00 5
## 69 iPad 2 iPad 2 0 165.00 5
## 70 iPad 2 iPad 2 0 179.00 5
## 71 iPad 3 iPad 3 0 99.00 5
## 72 iPad 3 iPad 3 0 150.00 5
## 73 iPad 3 iPad 3 0 220.00 5
## 74 iPad 3 iPad 3 0 225.00 5
## 75 iPad 3 iPad 3 0 300.00 5
## 76 iPad 4 iPad 4 0 250.00 5
## 77 iPad 4 iPad 4 0 279.99 5
## 78 iPad 4 iPad 4 0 400.00 5
## 79 iPad Air iPad Air 0 100.00 5
## 80 iPad Air iPad Air 0 250.00 5
## 81 iPad Air iPad Air 0 350.00 5
## 82 iPad Air iPad Air 0 389.99 5
## 83 iPad Air 2 iPad Air 2 0 499.99 5
## 84 iPad mini iPad mini 0 1.00 5
## 85 iPad mini iPad mini 0 250.00 5
## 86 iPad mini iPad mini 0 350.00 5
## 87 iPad mini 2 iPad mini 2 0 200.00 5
## 88 iPad mini 3 iPad mini 3 0 499.99 5
## 89 iPad mini 3 iPad mini 3 0 599.99 5
## 90 Unknown Unknown 0 25.00 4
## 91 Unknown Unknown 0 149.99 4
## 92 Unknown Unknown 0 250.00 4
## 93 iPad 1 iPad 1 0 40.00 4
## 94 iPad 1 iPad 1 0 49.99 4
## 95 iPad 1 iPad 1 0 79.00 4
## 96 iPad 1 iPad 1 0 105.00 4
## 97 iPad 1 iPad 1 0 110.00 4
## 98 iPad 2 iPad 2 0 1.00 4
## 99 iPad 2 iPad 2 0 40.00 4
## 100 iPad 2 iPad 2 0 49.99 4
## 101 iPad 2 iPad 2 0 130.00 4
## 102 iPad 2 iPad 2 0 140.00 4
## 103 iPad 2 iPad 2 0 155.00 4
## 104 iPad 2 iPad 2 0 164.99 4
## 105 iPad 2 iPad 2 0 174.99 4
## 106 iPad 2 iPad 2 0 179.99 4
## 107 iPad 2 iPad 2 0 189.99 4
## 108 iPad 2 iPad 2 0 250.00 4
## 109 iPad 3 iPad 3 0 100.00 4
## 110 iPad 3 iPad 3 0 149.99 4
## 111 iPad 3 iPad 3 0 175.00 4
## 112 iPad 3 iPad 3 0 199.99 4
## 113 iPad 3 iPad 3 0 219.99 4
## 114 iPad 3 iPad 3 0 249.99 4
## 115 iPad 3 iPad 3 0 275.00 4
## 116 iPad 4 iPad 4 0 0.01 4
## 117 iPad 4 iPad 4 0 99.99 4
## 118 iPad 4 iPad 4 0 200.00 4
## 119 iPad 4 iPad 4 0 299.00 4
## 120 iPad Air iPad Air 0 279.99 4
## 121 iPad Air iPad Air 0 325.00 4
## 122 iPad Air iPad Air 0 329.99 4
## 123 iPad Air iPad Air 0 500.00 4
## 124 iPad Air 2 iPad Air 2 0 250.00 4
## 125 iPad Air 2 iPad Air 2 0 350.00 4
## 126 iPad Air 2 iPad Air 2 0 399.00 4
## 127 iPad Air 2 iPad Air 2 0 399.99 4
## 128 iPad Air 2 iPad Air 2 0 400.00 4
## 129 iPad Air 2 iPad Air 2 0 500.00 4
## 130 iPad Air 2 iPad Air 2 0 549.99 4
## 131 iPad mini iPad mini 0 119.99 4
## 132 iPad mini iPad mini 0 130.00 4
## 133 iPad mini iPad mini 0 149.00 4
## 134 iPad mini iPad mini 0 249.99 4
## 135 iPad mini iPad mini 0 275.00 4
## 136 iPad mini iPad mini 0 300.00 4
## 137 iPad mini 2 iPad mini 2 0 175.00 4
## 138 iPad mini 2 iPad mini 2 0 250.00 4
## 139 iPad mini 2 iPad mini 2 0 300.00 4
## 140 iPad mini 3 iPad mini 3 0 325.00 4
## 141 iPad mini 3 iPad mini 3 0 400.00 4
## 142 Unknown Unknown 0 15.00 3
## 143 Unknown Unknown 0 40.00 3
## 144 Unknown Unknown 0 75.00 3
## 145 Unknown Unknown 0 99.00 3
## 146 Unknown Unknown 0 120.00 3
## 147 Unknown Unknown 0 199.00 3
## 148 Unknown Unknown 0 199.99 3
## 149 Unknown Unknown 0 200.00 3
## 150 Unknown Unknown 0 249.00 3
## 151 Unknown Unknown 0 249.99 3
## 152 Unknown Unknown 0 299.99 3
## 153 Unknown Unknown 0 319.00 3
## 154 Unknown Unknown 0 350.00 3
## 155 iPad 1 iPad 1 0 0.01 3
## 156 iPad 1 iPad 1 0 19.99 3
## 157 iPad 1 iPad 1 0 20.00 3
## 158 iPad 1 iPad 1 0 25.00 3
## 159 iPad 1 iPad 1 0 30.00 3
## 160 iPad 1 iPad 1 0 36.95 3
## 161 iPad 1 iPad 1 0 65.00 3
## 162 iPad 1 iPad 1 0 84.99 3
## 163 iPad 1 iPad 1 0 85.00 3
## 164 iPad 1 iPad 1 0 89.00 3
## 165 iPad 1 iPad 1 0 99.99 3
## 166 iPad 1 iPad 1 0 119.99 3
## 167 iPad 1 iPad 1 0 150.00 3
## 168 iPad 1 iPad 1 0 180.00 3
## 169 iPad 2 iPad 2 0 30.00 3
## 170 iPad 2 iPad 2 0 70.00 3
## 171 iPad 2 iPad 2 0 85.00 3
## 172 iPad 2 iPad 2 0 89.99 3
## 173 iPad 2 iPad 2 0 90.00 3
## 174 iPad 2 iPad 2 0 120.00 3
## 175 iPad 2 iPad 2 0 129.95 3
## 176 iPad 2 iPad 2 0 129.99 3
## 177 iPad 2 iPad 2 0 139.00 3
## 178 iPad 2 iPad 2 0 149.00 3
## 179 iPad 2 iPad 2 0 149.95 3
## 180 iPad 2 iPad 2 0 154.00 3
## 181 iPad 2 iPad 2 0 159.99 3
## 182 iPad 2 iPad 2 0 169.00 3
## 183 iPad 2 iPad 2 0 249.97 3
## 184 iPad 2 iPad 2 0 275.00 3
## 185 iPad 2 iPad 2 0 300.00 3
## 186 iPad 3 iPad 3 0 1.00 3
## 187 iPad 3 iPad 3 0 9.99 3
## 188 iPad 3 iPad 3 0 10.00 3
## 189 iPad 3 iPad 3 0 99.99 3
## 190 iPad 3 iPad 3 0 128.00 3
## 191 iPad 3 iPad 3 0 185.00 3
## 192 iPad 3 iPad 3 0 187.50 3
## 193 iPad 3 iPad 3 0 199.00 3
## 194 iPad 4 iPad 4 0 50.00 3
## 195 iPad 4 iPad 4 0 225.00 3
## 196 iPad 4 iPad 4 0 259.99 3
## 197 iPad 4 iPad 4 0 275.00 3
## 198 iPad 4 iPad 4 0 280.00 3
## 199 iPad 4 iPad 4 0 300.00 3
## 200 iPad 4 iPad 4 0 320.00 3
## 201 iPad Air iPad Air 0 90.00 3
## 202 iPad Air iPad Air 0 199.99 3
## 203 iPad Air iPad Air 0 229.00 3
## 204 iPad Air iPad Air 0 299.99 3
## 205 iPad Air iPad Air 0 320.00 3
## 206 iPad Air iPad Air 0 379.00 3
## 207 iPad Air iPad Air 0 415.00 3
## 208 iPad Air 2 iPad Air 2 0 1.00 3
## 209 iPad Air 2 iPad Air 2 0 50.00 3
## 210 iPad Air 2 iPad Air 2 0 199.99 3
## 211 iPad Air 2 iPad Air 2 0 425.00 3
## 212 iPad Air 2 iPad Air 2 0 439.99 3
## 213 iPad Air 2 iPad Air 2 0 480.00 3
## 214 iPad Air 2 iPad Air 2 0 499.00 3
## 215 iPad Air 2 iPad Air 2 0 525.00 3
## 216 iPad Air 2 iPad Air 2 0 560.00 3
## 217 iPad mini iPad mini 0 0.01 3
## 218 iPad mini iPad mini 0 20.00 3
## 219 iPad mini iPad mini 0 25.00 3
## 220 iPad mini iPad mini 0 45.00 3
## 221 iPad mini iPad mini 0 60.00 3
## 222 iPad mini iPad mini 0 125.00 3
## 223 iPad mini iPad mini 0 160.00 3
## 224 iPad mini iPad mini 0 179.00 3
## 225 iPad mini iPad mini 0 179.99 3
## 226 iPad mini iPad mini 0 189.99 3
## 227 iPad mini iPad mini 0 210.00 3
## 228 iPad mini iPad mini 0 259.99 3
## 229 iPad mini iPad mini 0 290.00 3
## 230 iPad mini iPad mini 0 400.00 3
## 231 iPad mini 2 iPad mini 2 0 100.00 3
## 232 iPad mini 2 iPad mini 2 0 120.00 3
## 233 iPad mini 2 iPad mini 2 0 180.00 3
## 234 iPad mini 2 iPad mini 2 0 285.00 3
## 235 iPad mini 2 iPad mini 2 0 375.00 3
## 236 iPad mini 3 iPad mini 3 0 99.00 3
## 237 iPad mini 3 iPad mini 3 0 300.00 3
## 238 iPad mini 3 iPad mini 3 0 329.99 3
## 239 iPad mini 3 iPad mini 3 0 350.00 3
## 240 iPad mini 3 iPad mini 3 0 399.99 3
## 241 iPad mini 3 iPad mini 3 0 449.99 3
## 242 iPad mini 3 iPad mini 3 0 729.99 3
## 243 Unknown Unknown 0 5.00 2
## 244 Unknown Unknown 0 9.99 2
## 245 Unknown Unknown 0 19.99 2
## 246 Unknown Unknown 0 20.00 2
## 247 Unknown Unknown 0 39.99 2
## 248 Unknown Unknown 0 70.00 2
## 249 Unknown Unknown 0 79.95 2
## 250 Unknown Unknown 0 80.00 2
## 251 Unknown Unknown 0 99.99 2
## 252 Unknown Unknown 0 108.00 2
## 253 Unknown Unknown 0 159.99 2
## 254 Unknown Unknown 0 165.00 2
## 255 Unknown Unknown 0 169.99 2
## 256 Unknown Unknown 0 175.00 2
## 257 Unknown Unknown 0 185.00 2
## 258 Unknown Unknown 0 280.00 2
## 259 Unknown Unknown 0 319.99 2
## 260 Unknown Unknown 0 375.00 2
## 261 Unknown Unknown 0 399.00 2
## 262 Unknown Unknown 0 450.00 2
## 263 Unknown Unknown 0 500.00 2
## 264 Unknown Unknown 0 599.99 2
## 265 Unknown Unknown 0 700.00 2
## 266 iPad 1 iPad 1 0 9.50 2
## 267 iPad 1 iPad 1 0 9.99 2
## 268 iPad 1 iPad 1 0 10.00 2
## 269 iPad 1 iPad 1 0 14.99 2
## 270 iPad 1 iPad 1 0 15.00 2
## 271 iPad 1 iPad 1 0 45.00 2
## 272 iPad 1 iPad 1 0 58.00 2
## 273 iPad 1 iPad 1 0 60.00 2
## 274 iPad 1 iPad 1 0 62.00 2
## 275 iPad 1 iPad 1 0 69.00 2
## 276 iPad 1 iPad 1 0 69.99 2
## 277 iPad 1 iPad 1 0 89.95 2
## 278 iPad 1 iPad 1 0 92.14 2
## 279 iPad 1 iPad 1 0 101.00 2
## 280 iPad 1 iPad 1 0 104.99 2
## 281 iPad 1 iPad 1 0 115.00 2
## 282 iPad 1 iPad 1 0 124.95 2
## 283 iPad 1 iPad 1 0 125.00 2
## 284 iPad 1 iPad 1 0 129.99 2
## 285 iPad 1 iPad 1 0 165.00 2
## 286 iPad 1 iPad 1 0 175.00 2
## 287 iPad 1 iPad 1 0 250.00 2
## 288 iPad 1 iPad 1 0 279.95 2
## 289 iPad 2 iPad 2 0 0.10 2
## 290 iPad 2 iPad 2 0 15.00 2
## 291 iPad 2 iPad 2 0 19.95 2
## 292 iPad 2 iPad 2 0 59.99 2
## 293 iPad 2 iPad 2 0 65.00 2
## 294 iPad 2 iPad 2 0 69.99 2
## 295 iPad 2 iPad 2 0 74.99 2
## 296 iPad 2 iPad 2 0 89.00 2
## 297 iPad 2 iPad 2 0 95.00 2
## 298 iPad 2 iPad 2 0 119.99 2
## 299 iPad 2 iPad 2 0 128.00 2
## 300 iPad 2 iPad 2 0 135.00 2
## 301 iPad 2 iPad 2 0 144.99 2
## 302 iPad 2 iPad 2 0 145.00 2
## 303 iPad 2 iPad 2 0 149.97 2
## 304 iPad 2 iPad 2 0 150.99 2
## 305 iPad 2 iPad 2 0 162.00 2
## 306 iPad 2 iPad 2 0 169.99 2
## 307 iPad 2 iPad 2 0 170.00 2
## 308 iPad 2 iPad 2 0 172.00 2
## 309 iPad 2 iPad 2 0 179.95 2
## 310 iPad 2 iPad 2 0 204.00 2
## 311 iPad 2 iPad 2 0 220.00 2
## 312 iPad 2 iPad 2 0 350.00 2
## 313 iPad 3 iPad 3 0 0.01 2
## 314 iPad 3 iPad 3 0 25.00 2
## 315 iPad 3 iPad 3 0 49.99 2
## 316 iPad 3 iPad 3 0 89.99 2
## 317 iPad 3 iPad 3 0 99.95 2
## 318 iPad 3 iPad 3 0 125.00 2
## 319 iPad 3 iPad 3 0 140.00 2
## 320 iPad 3 iPad 3 0 179.99 2
## 321 iPad 3 iPad 3 0 180.00 2
## 322 iPad 3 iPad 3 0 209.99 2
## 323 iPad 3 iPad 3 0 215.00 2
## 324 iPad 3 iPad 3 0 229.99 2
## 325 iPad 3 iPad 3 0 239.88 2
## 326 iPad 3 iPad 3 0 239.99 2
## 327 iPad 3 iPad 3 0 299.00 2
## 328 iPad 3 iPad 3 0 314.99 2
## 329 iPad 3 iPad 3 0 450.00 2
## 330 iPad 4 iPad 4 0 80.00 2
## 331 iPad 4 iPad 4 0 99.98 2
## 332 iPad 4 iPad 4 0 107.00 2
## 333 iPad 4 iPad 4 0 125.00 2
## 334 iPad 4 iPad 4 0 195.00 2
## 335 iPad 4 iPad 4 0 199.00 2
## 336 iPad 4 iPad 4 0 209.00 2
## 337 iPad 4 iPad 4 0 240.00 2
## 338 iPad 4 iPad 4 0 255.00 2
## 339 iPad 4 iPad 4 0 265.00 2
## 340 iPad 4 iPad 4 0 269.99 2
## 341 iPad 4 iPad 4 0 285.00 2
## 342 iPad 4 iPad 4 0 295.00 2
## 343 iPad 4 iPad 4 0 299.99 2
## 344 iPad 4 iPad 4 0 305.00 2
## 345 iPad 4 iPad 4 0 309.99 2
## 346 iPad 4 iPad 4 0 310.00 2
## 347 iPad 4 iPad 4 0 315.00 2
## 348 iPad 4 iPad 4 0 324.99 2
## 349 iPad 4 iPad 4 0 325.00 2
## 350 iPad 4 iPad 4 0 344.00 2
## 351 iPad 4 iPad 4 0 350.00 2
## 352 iPad 4 iPad 4 0 367.97 2
## 353 iPad 4 iPad 4 0 375.00 2
## 354 iPad 4 iPad 4 0 500.00 2
## 355 iPad 4 iPad 4 0 588.18 2
## 356 iPad Air iPad Air 0 49.99 2
## 357 iPad Air iPad Air 0 75.00 2
## 358 iPad Air iPad Air 0 89.99 2
## 359 iPad Air iPad Air 0 99.99 2
## 360 iPad Air iPad Air 0 209.00 2
## 361 iPad Air iPad Air 0 245.00 2
## 362 iPad Air iPad Air 0 249.98 2
## 363 iPad Air iPad Air 0 265.00 2
## 364 iPad Air iPad Air 0 280.00 2
## 365 iPad Air iPad Air 0 290.00 2
## 366 iPad Air iPad Air 0 299.00 2
## 367 iPad Air iPad Air 0 319.00 2
## 368 iPad Air iPad Air 0 319.95 2
## 369 iPad Air iPad Air 0 319.99 2
## 370 iPad Air iPad Air 0 320.99 2
## 371 iPad Air iPad Air 0 339.00 2
## 372 iPad Air iPad Air 0 349.00 2
## 373 iPad Air iPad Air 0 349.99 2
## 374 iPad Air iPad Air 0 369.99 2
## 375 iPad Air iPad Air 0 375.00 2
## 376 iPad Air iPad Air 0 379.99 2
## 377 iPad Air iPad Air 0 398.99 2
## 378 iPad Air iPad Air 0 399.99 2
## 379 iPad Air iPad Air 0 449.99 2
## 380 iPad Air iPad Air 0 450.00 2
## 381 iPad Air iPad Air 0 579.99 2
## 382 iPad Air iPad Air 0 648.00 2
## 383 iPad Air iPad Air 0 750.00 2
## 384 iPad Air 2 iPad Air 2 0 99.99 2
## 385 iPad Air 2 iPad Air 2 0 200.00 2
## 386 iPad Air 2 iPad Air 2 0 260.00 2
## 387 iPad Air 2 iPad Air 2 0 300.00 2
## 388 iPad Air 2 iPad Air 2 0 349.99 2
## 389 iPad Air 2 iPad Air 2 0 379.99 2
## 390 iPad Air 2 iPad Air 2 0 419.00 2
## 391 iPad Air 2 iPad Air 2 0 449.00 2
## 392 iPad Air 2 iPad Air 2 0 475.00 2
## 393 iPad Air 2 iPad Air 2 0 549.00 2
## 394 iPad Air 2 iPad Air 2 0 559.99 2
## 395 iPad Air 2 iPad Air 2 0 575.00 2
## 396 iPad Air 2 iPad Air 2 0 639.00 2
## 397 iPad Air 2 iPad Air 2 0 639.99 2
## 398 iPad Air 2 iPad Air 2 0 650.00 2
## 399 iPad Air 2 iPad Air 2 0 729.99 2
## 400 iPad Air 2 iPad Air 2 0 749.00 2
## 401 iPad Air 2 iPad Air 2 0 749.95 2
## 402 iPad Air 2 iPad Air 2 1 465.99 2
## 403 iPad mini Unknown 0 149.99 2
## 404 iPad mini iPad mini 0 5.00 2
## 405 iPad mini iPad mini 0 9.99 2
## 406 iPad mini iPad mini 0 10.00 2
## 407 iPad mini iPad mini 0 30.00 2
## 408 iPad mini iPad mini 0 70.00 2
## 409 iPad mini iPad mini 0 85.00 2
## 410 iPad mini iPad mini 0 90.00 2
## 411 iPad mini iPad mini 0 99.95 2
## 412 iPad mini iPad mini 0 114.99 2
## 413 iPad mini iPad mini 0 115.00 2
## 414 iPad mini iPad mini 0 139.99 2
## 415 iPad mini iPad mini 0 155.00 2
## 416 iPad mini iPad mini 0 165.00 2
## 417 iPad mini iPad mini 0 174.99 2
## 418 iPad mini iPad mini 0 215.00 2
## 419 iPad mini iPad mini 0 219.99 2
## 420 iPad mini iPad mini 0 225.00 2
## 421 iPad mini iPad mini 0 230.00 2
## 422 iPad mini iPad mini 0 239.99 2
## 423 iPad mini iPad mini 0 249.00 2
## 424 iPad mini iPad mini 0 258.98 2
## 425 iPad mini iPad mini 0 280.00 2
## 426 iPad mini iPad mini 0 285.00 2
## 427 iPad mini iPad mini 0 299.99 2
## 428 iPad mini 2 iPad mini 2 0 1.00 2
## 429 iPad mini 2 iPad mini 2 0 99.00 2
## 430 iPad mini 2 iPad mini 2 0 99.99 2
## 431 iPad mini 2 iPad mini 2 0 187.99 2
## 432 iPad mini 2 iPad mini 2 0 230.00 2
## 433 iPad mini 2 iPad mini 2 0 235.00 2
## 434 iPad mini 2 iPad mini 2 0 249.00 2
## 435 iPad mini 2 iPad mini 2 0 269.00 2
## 436 iPad mini 2 iPad mini 2 0 275.00 2
## 437 iPad mini 2 iPad mini 2 0 280.00 2
## 438 iPad mini 2 iPad mini 2 0 289.00 2
## 439 iPad mini 2 iPad mini 2 0 299.00 2
## 440 iPad mini 2 iPad mini 2 0 315.00 2
## 441 iPad mini 2 iPad mini 2 0 325.00 2
## 442 iPad mini 2 iPad mini 2 0 329.00 2
## 443 iPad mini 2 iPad mini 2 0 329.99 2
## 444 iPad mini 2 iPad mini 2 0 349.99 2
## 445 iPad mini 2 iPad mini 2 0 399.99 2
## 446 iPad mini 2 iPad mini 2 0 499.00 2
## 447 iPad mini 3 iPad mini 3 0 0.01 2
## 448 iPad mini 3 iPad mini 3 0 199.00 2
## 449 iPad mini 3 iPad mini 3 0 284.99 2
## 450 iPad mini 3 iPad mini 3 0 299.99 2
## 451 iPad mini 3 iPad mini 3 0 345.00 2
## 452 iPad mini 3 iPad mini 3 0 349.00 2
## 453 iPad mini 3 iPad mini 3 0 375.00 2
## 454 iPad mini 3 iPad mini 3 0 389.99 2
## 455 iPad mini 3 iPad mini 3 0 498.88 2
## 456 iPad mini 3 iPad mini 3 0 500.00 2
## 457 Unknown Unknown 0 0.01 1
## 458 Unknown Unknown 0 1.00 1
## 459 Unknown Unknown 0 2.99 1
## 460 Unknown Unknown 0 3.99 1
## 461 Unknown Unknown 0 4.69 1
## 462 Unknown Unknown 0 4.99 1
## 463 Unknown Unknown 0 5.65 1
## 464 Unknown Unknown 0 7.99 1
## 465 Unknown Unknown 0 8.99 1
## 466 Unknown Unknown 0 9.95 1
## 467 Unknown Unknown 0 10.00 1
## 468 Unknown Unknown 0 14.00 1
## 469 Unknown Unknown 0 14.49 1
## 470 Unknown Unknown 0 14.99 1
## 471 Unknown Unknown 0 17.75 1
## 472 Unknown Unknown 0 24.99 1
## 473 Unknown Unknown 0 28.00 1
## 474 Unknown Unknown 0 28.75 1
## 475 Unknown Unknown 0 30.00 1
## 476 Unknown Unknown 0 30.99 1
## 477 Unknown Unknown 0 32.95 1
## 478 Unknown Unknown 0 35.00 1
## 479 Unknown Unknown 0 37.98 1
## 480 Unknown Unknown 0 41.00 1
## 481 Unknown Unknown 0 43.20 1
## 482 Unknown Unknown 0 44.99 1
## 483 Unknown Unknown 0 45.00 1
## 484 Unknown Unknown 0 49.95 1
## 485 Unknown Unknown 0 49.99 1
## 486 Unknown Unknown 0 51.99 1
## 487 Unknown Unknown 0 52.25 1
## 488 Unknown Unknown 0 57.50 1
## 489 Unknown Unknown 0 58.00 1
## 490 Unknown Unknown 0 59.95 1
## 491 Unknown Unknown 0 59.99 1
## 492 Unknown Unknown 0 63.00 1
## 493 Unknown Unknown 0 65.00 1
## 494 Unknown Unknown 0 69.00 1
## 495 Unknown Unknown 0 70.99 1
## 496 Unknown Unknown 0 76.00 1
## 497 Unknown Unknown 0 87.00 1
## 498 Unknown Unknown 0 89.00 1
## 499 Unknown Unknown 0 90.00 1
## 500 Unknown Unknown 0 91.00 1
## 501 Unknown Unknown 0 99.46 1
## 502 Unknown Unknown 0 109.99 1
## 503 Unknown Unknown 0 110.00 1
## 504 Unknown Unknown 0 114.48 1
## 505 Unknown Unknown 0 116.33 1
## 506 Unknown Unknown 0 118.84 1
## 507 Unknown Unknown 0 118.95 1
## 508 Unknown Unknown 0 119.99 1
## 509 Unknown Unknown 0 124.99 1
## 510 Unknown Unknown 0 125.00 1
## 511 Unknown Unknown 0 127.95 1
## 512 Unknown Unknown 0 137.95 1
## 513 Unknown Unknown 0 139.00 1
## 514 Unknown Unknown 0 139.99 1
## 515 Unknown Unknown 0 145.00 1
## 516 Unknown Unknown 0 149.98 1
## 517 Unknown Unknown 0 150.87 1
## 518 Unknown Unknown 0 154.99 1
## 519 Unknown Unknown 0 155.00 1
## 520 Unknown Unknown 0 167.38 1
## 521 Unknown Unknown 0 168.00 1
## 522 Unknown Unknown 0 170.00 1
## 523 Unknown Unknown 0 174.00 1
## 524 Unknown Unknown 0 177.99 1
## 525 Unknown Unknown 0 179.99 1
## 526 Unknown Unknown 0 180.00 1
## 527 Unknown Unknown 0 182.77 1
## 528 Unknown Unknown 0 186.00 1
## 529 Unknown Unknown 0 188.00 1
## 530 Unknown Unknown 0 190.99 1
## 531 Unknown Unknown 0 193.15 1
## 532 Unknown Unknown 0 195.00 1
## 533 Unknown Unknown 0 196.79 1
## 534 Unknown Unknown 0 199.97 1
## 535 Unknown Unknown 0 210.00 1
## 536 Unknown Unknown 0 214.95 1
## 537 Unknown Unknown 0 215.00 1
## 538 Unknown Unknown 0 220.00 1
## 539 Unknown Unknown 0 224.00 1
## 540 Unknown Unknown 0 225.00 1
## 541 Unknown Unknown 0 229.00 1
## 542 Unknown Unknown 0 229.95 1
## 543 Unknown Unknown 0 229.99 1
## 544 Unknown Unknown 0 230.00 1
## 545 Unknown Unknown 0 232.99 1
## 546 Unknown Unknown 0 239.99 1
## 547 Unknown Unknown 0 255.00 1
## 548 Unknown Unknown 0 259.00 1
## 549 Unknown Unknown 0 259.99 1
## 550 Unknown Unknown 0 260.00 1
## 551 Unknown Unknown 0 265.00 1
## 552 Unknown Unknown 0 275.00 1
## 553 Unknown Unknown 0 276.99 1
## 554 Unknown Unknown 0 279.00 1
## 555 Unknown Unknown 0 285.00 1
## 556 Unknown Unknown 0 289.00 1
## 557 Unknown Unknown 0 295.00 1
## 558 Unknown Unknown 0 309.98 1
## 559 Unknown Unknown 0 325.00 1
## 560 Unknown Unknown 0 329.99 1
## 561 Unknown Unknown 0 334.99 1
## 562 Unknown Unknown 0 339.00 1
## 563 Unknown Unknown 0 340.00 1
## 564 Unknown Unknown 0 347.00 1
## 565 Unknown Unknown 0 349.99 1
## 566 Unknown Unknown 0 380.00 1
## 567 Unknown Unknown 0 389.00 1
## 568 Unknown Unknown 0 395.00 1
## 569 Unknown Unknown 0 408.60 1
## 570 Unknown Unknown 0 415.00 1
## 571 Unknown Unknown 0 419.99 1
## 572 Unknown Unknown 0 425.99 1
## 573 Unknown Unknown 0 426.30 1
## 574 Unknown Unknown 0 439.98 1
## 575 Unknown Unknown 0 470.00 1
## 576 Unknown Unknown 0 473.60 1
## 577 Unknown Unknown 0 480.00 1
## 578 Unknown Unknown 0 520.90 1
## 579 Unknown Unknown 0 535.00 1
## 580 Unknown Unknown 0 550.00 1
## 581 Unknown Unknown 0 554.77 1
## 582 Unknown Unknown 0 561.53 1
## 583 Unknown Unknown 0 590.00 1
## 584 Unknown Unknown 0 595.00 1
## 585 Unknown Unknown 0 599.00 1
## 586 Unknown Unknown 0 639.99 1
## 587 Unknown Unknown 0 640.00 1
## 588 Unknown Unknown 0 679.99 1
## 589 Unknown Unknown 1 318.00 1
## 590 Unknown Unknown 1 550.00 1
## 591 iPad 1 iPad 1 0 9.95 1
## 592 iPad 1 iPad 1 0 19.95 1
## 593 iPad 1 iPad 1 0 29.95 1
## 594 iPad 1 iPad 1 0 33.00 1
## 595 iPad 1 iPad 1 0 35.00 1
## 596 iPad 1 iPad 1 0 39.99 1
## 597 iPad 1 iPad 1 0 42.00 1
## 598 iPad 1 iPad 1 0 48.00 1
## 599 iPad 1 iPad 1 0 48.99 1
## 600 iPad 1 iPad 1 0 49.49 1
## 601 iPad 1 iPad 1 0 52.99 1
## 602 iPad 1 iPad 1 0 54.99 1
## 603 iPad 1 iPad 1 0 55.66 1
## 604 iPad 1 iPad 1 0 56.00 1
## 605 iPad 1 iPad 1 0 59.00 1
## 606 iPad 1 iPad 1 0 59.99 1
## 607 iPad 1 iPad 1 0 64.99 1
## 608 iPad 1 iPad 1 0 72.00 1
## 609 iPad 1 iPad 1 0 74.00 1
## 610 iPad 1 iPad 1 0 74.50 1
## 611 iPad 1 iPad 1 0 74.99 1
## 612 iPad 1 iPad 1 0 78.00 1
## 613 iPad 1 iPad 1 0 79.94 1
## 614 iPad 1 iPad 1 0 82.95 1
## 615 iPad 1 iPad 1 0 82.98 1
## 616 iPad 1 iPad 1 0 85.95 1
## 617 iPad 1 iPad 1 0 89.50 1
## 618 iPad 1 iPad 1 0 91.00 1
## 619 iPad 1 iPad 1 0 92.00 1
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## 1186 iPad mini iPad mini 0 209.85 1
## 1187 iPad mini iPad mini 0 209.99 1
## 1188 iPad mini iPad mini 0 211.50 1
## 1189 iPad mini iPad mini 0 212.99 1
## 1190 iPad mini iPad mini 0 214.98 1
## 1191 iPad mini iPad mini 0 215.99 1
## 1192 iPad mini iPad mini 0 219.00 1
## 1193 iPad mini iPad mini 0 220.00 1
## 1194 iPad mini iPad mini 0 227.88 1
## 1195 iPad mini iPad mini 0 235.00 1
## 1196 iPad mini iPad mini 0 239.00 1
## 1197 iPad mini iPad mini 0 240.00 1
## 1198 iPad mini iPad mini 0 241.88 1
## 1199 iPad mini iPad mini 0 244.97 1
## 1200 iPad mini iPad mini 0 249.95 1
## 1201 iPad mini iPad mini 0 252.88 1
## 1202 iPad mini iPad mini 0 255.00 1
## 1203 iPad mini iPad mini 0 258.88 1
## 1204 iPad mini iPad mini 0 259.00 1
## 1205 iPad mini iPad mini 0 260.00 1
## 1206 iPad mini iPad mini 0 265.00 1
## 1207 iPad mini iPad mini 0 265.99 1
## 1208 iPad mini iPad mini 0 271.00 1
## 1209 iPad mini iPad mini 0 279.00 1
## 1210 iPad mini iPad mini 0 279.50 1
## 1211 iPad mini iPad mini 0 279.99 1
## 1212 iPad mini iPad mini 0 289.00 1
## 1213 iPad mini iPad mini 0 289.99 1
## 1214 iPad mini iPad mini 0 295.00 1
## 1215 iPad mini iPad mini 0 298.00 1
## 1216 iPad mini iPad mini 0 299.95 1
## 1217 iPad mini iPad mini 0 310.00 1
## 1218 iPad mini iPad mini 0 315.00 1
## 1219 iPad mini iPad mini 0 320.00 1
## 1220 iPad mini iPad mini 0 334.95 1
## 1221 iPad mini iPad mini 0 339.99 1
## 1222 iPad mini iPad mini 0 348.60 1
## 1223 iPad mini iPad mini 0 349.99 1
## 1224 iPad mini iPad mini 0 351.00 1
## 1225 iPad mini iPad mini 0 358.87 1
## 1226 iPad mini iPad mini 0 370.00 1
## 1227 iPad mini iPad mini 0 375.00 1
## 1228 iPad mini iPad mini 0 379.99 1
## 1229 iPad mini iPad mini 0 385.00 1
## 1230 iPad mini iPad mini 0 387.45 1
## 1231 iPad mini iPad mini 0 388.30 1
## 1232 iPad mini iPad mini 0 397.75 1
## 1233 iPad mini iPad mini 0 398.99 1
## 1234 iPad mini iPad mini 0 399.99 1
## 1235 iPad mini iPad mini 0 429.00 1
## 1236 iPad mini iPad mini 0 429.99 1
## 1237 iPad mini iPad mini 0 475.00 1
## 1238 iPad mini iPad mini 0 499.99 1
## 1239 iPad mini iPad mini 0 720.12 1
## 1240 iPad mini iPad mini 0 999.00 1
## 1241 iPad mini 2 iPad mini 2 0 0.01 1
## 1242 iPad mini 2 iPad mini 2 0 10.00 1
## 1243 iPad mini 2 iPad mini 2 0 25.00 1
## 1244 iPad mini 2 iPad mini 2 0 49.99 1
## 1245 iPad mini 2 iPad mini 2 0 79.95 1
## 1246 iPad mini 2 iPad mini 2 0 99.97 1
## 1247 iPad mini 2 iPad mini 2 0 119.00 1
## 1248 iPad mini 2 iPad mini 2 0 129.99 1
## 1249 iPad mini 2 iPad mini 2 0 130.00 1
## 1250 iPad mini 2 iPad mini 2 0 145.00 1
## 1251 iPad mini 2 iPad mini 2 0 149.00 1
## 1252 iPad mini 2 iPad mini 2 0 149.95 1
## 1253 iPad mini 2 iPad mini 2 0 150.00 1
## 1254 iPad mini 2 iPad mini 2 0 155.00 1
## 1255 iPad mini 2 iPad mini 2 0 160.00 1
## 1256 iPad mini 2 iPad mini 2 0 185.00 1
## 1257 iPad mini 2 iPad mini 2 0 199.00 1
## 1258 iPad mini 2 iPad mini 2 0 201.99 1
## 1259 iPad mini 2 iPad mini 2 0 209.98 1
## 1260 iPad mini 2 iPad mini 2 0 210.00 1
## 1261 iPad mini 2 iPad mini 2 0 215.00 1
## 1262 iPad mini 2 iPad mini 2 0 217.00 1
## 1263 iPad mini 2 iPad mini 2 0 222.72 1
## 1264 iPad mini 2 iPad mini 2 0 223.00 1
## 1265 iPad mini 2 iPad mini 2 0 229.00 1
## 1266 iPad mini 2 iPad mini 2 0 237.00 1
## 1267 iPad mini 2 iPad mini 2 0 238.80 1
## 1268 iPad mini 2 iPad mini 2 0 239.00 1
## 1269 iPad mini 2 iPad mini 2 0 239.99 1
## 1270 iPad mini 2 iPad mini 2 0 245.00 1
## 1271 iPad mini 2 iPad mini 2 0 248.18 1
## 1272 iPad mini 2 iPad mini 2 0 259.95 1
## 1273 iPad mini 2 iPad mini 2 0 260.00 1
## 1274 iPad mini 2 iPad mini 2 0 264.99 1
## 1275 iPad mini 2 iPad mini 2 0 279.99 1
## 1276 iPad mini 2 iPad mini 2 0 289.95 1
## 1277 iPad mini 2 iPad mini 2 0 295.00 1
## 1278 iPad mini 2 iPad mini 2 0 299.99 1
## 1279 iPad mini 2 iPad mini 2 0 308.00 1
## 1280 iPad mini 2 iPad mini 2 0 310.00 1
## 1281 iPad mini 2 iPad mini 2 0 319.98 1
## 1282 iPad mini 2 iPad mini 2 0 319.99 1
## 1283 iPad mini 2 iPad mini 2 0 327.58 1
## 1284 iPad mini 2 iPad mini 2 0 339.00 1
## 1285 iPad mini 2 iPad mini 2 0 339.99 1
## 1286 iPad mini 2 iPad mini 2 0 350.25 1
## 1287 iPad mini 2 iPad mini 2 0 376.00 1
## 1288 iPad mini 2 iPad mini 2 0 379.99 1
## 1289 iPad mini 2 iPad mini 2 0 380.00 1
## 1290 iPad mini 2 iPad mini 2 0 385.00 1
## 1291 iPad mini 2 iPad mini 2 0 387.00 1
## 1292 iPad mini 2 iPad mini 2 0 395.00 1
## 1293 iPad mini 2 iPad mini 2 0 400.00 1
## 1294 iPad mini 2 iPad mini 2 0 429.99 1
## 1295 iPad mini 2 iPad mini 2 0 430.00 1
## 1296 iPad mini 2 iPad mini 2 0 449.00 1
## 1297 iPad mini 2 iPad mini 2 0 450.00 1
## 1298 iPad mini 2 iPad mini 2 0 458.00 1
## 1299 iPad mini 2 iPad mini 2 0 460.00 1
## 1300 iPad mini 2 iPad mini 2 0 469.00 1
## 1301 iPad mini 2 iPad mini 2 0 500.00 1
## 1302 iPad mini 2 iPad mini 2 0 509.00 1
## 1303 iPad mini 2 iPad mini 2 0 550.00 1
## 1304 iPad mini 2 iPad mini 2 0 575.00 1
## 1305 iPad mini 2 iPad mini 2 0 595.00 1
## 1306 iPad mini 2 iPad mini 2 1 195.00 1
## 1307 iPad mini 3 iPad mini 3 0 0.45 1
## 1308 iPad mini 3 iPad mini 3 0 9.95 1
## 1309 iPad mini 3 iPad mini 3 0 25.00 1
## 1310 iPad mini 3 iPad mini 3 0 100.00 1
## 1311 iPad mini 3 iPad mini 3 0 149.00 1
## 1312 iPad mini 3 iPad mini 3 0 175.00 1
## 1313 iPad mini 3 iPad mini 3 0 197.97 1
## 1314 iPad mini 3 iPad mini 3 0 199.99 1
## 1315 iPad mini 3 iPad mini 3 0 249.00 1
## 1316 iPad mini 3 iPad mini 3 0 250.00 1
## 1317 iPad mini 3 iPad mini 3 0 290.00 1
## 1318 iPad mini 3 iPad mini 3 0 295.95 1
## 1319 iPad mini 3 iPad mini 3 0 299.00 1
## 1320 iPad mini 3 iPad mini 3 0 309.95 1
## 1321 iPad mini 3 iPad mini 3 0 329.00 1
## 1322 iPad mini 3 iPad mini 3 0 331.99 1
## 1323 iPad mini 3 iPad mini 3 0 332.50 1
## 1324 iPad mini 3 iPad mini 3 0 334.00 1
## 1325 iPad mini 3 iPad mini 3 0 335.00 1
## 1326 iPad mini 3 iPad mini 3 0 339.50 1
## 1327 iPad mini 3 iPad mini 3 0 339.98 1
## 1328 iPad mini 3 iPad mini 3 0 340.00 1
## 1329 iPad mini 3 iPad mini 3 0 349.95 1
## 1330 iPad mini 3 iPad mini 3 0 349.99 1
## 1331 iPad mini 3 iPad mini 3 0 359.00 1
## 1332 iPad mini 3 iPad mini 3 0 359.99 1
## 1333 iPad mini 3 iPad mini 3 0 370.00 1
## 1334 iPad mini 3 iPad mini 3 0 379.95 1
## 1335 iPad mini 3 iPad mini 3 0 379.99 1
## 1336 iPad mini 3 iPad mini 3 0 380.00 1
## 1337 iPad mini 3 iPad mini 3 0 385.00 1
## 1338 iPad mini 3 iPad mini 3 0 394.99 1
## 1339 iPad mini 3 iPad mini 3 0 399.00 1
## 1340 iPad mini 3 iPad mini 3 0 419.95 1
## 1341 iPad mini 3 iPad mini 3 0 419.99 1
## 1342 iPad mini 3 iPad mini 3 0 425.00 1
## 1343 iPad mini 3 iPad mini 3 0 426.99 1
## 1344 iPad mini 3 iPad mini 3 0 439.99 1
## 1345 iPad mini 3 iPad mini 3 0 445.95 1
## 1346 iPad mini 3 iPad mini 3 0 449.95 1
## 1347 iPad mini 3 iPad mini 3 0 450.00 1
## 1348 iPad mini 3 iPad mini 3 0 459.99 1
## 1349 iPad mini 3 iPad mini 3 0 460.00 1
## 1350 iPad mini 3 iPad mini 3 0 469.99 1
## 1351 iPad mini 3 iPad mini 3 0 475.00 1
## 1352 iPad mini 3 iPad mini 3 0 485.00 1
## 1353 iPad mini 3 iPad mini 3 0 510.00 1
## 1354 iPad mini 3 iPad mini 3 0 525.00 1
## 1355 iPad mini 3 iPad mini 3 0 529.99 1
## 1356 iPad mini 3 iPad mini 3 0 549.99 1
## 1357 iPad mini 3 iPad mini 3 0 550.00 1
## 1358 iPad mini 3 iPad mini 3 0 559.99 1
## 1359 iPad mini 3 iPad mini 3 0 569.00 1
## 1360 iPad mini 3 iPad mini 3 0 575.00 1
## 1361 iPad mini 3 iPad mini 3 0 579.99 1
## 1362 iPad mini 3 iPad mini 3 0 609.99 1
## 1363 iPad mini 3 iPad mini 3 0 614.99 1
## 1364 iPad mini 3 iPad mini 3 0 639.99 1
## 1365 iPad mini 3 iPad mini 3 0 650.00 1
## 1366 iPad mini 3 iPad mini 3 0 689.99 1
## 1367 iPad mini 3 iPad mini 3 0 799.99 1
## 1368 iPad mini 3 iPad mini 3 0 948.98 1
## 1369 iPad mini Retina iPad mini Retina 0 160.00 1
## 1370 iPad mini Retina iPad mini Retina 0 235.00 1
## 1371 iPad mini Retina iPad mini Retina 0 250.00 1
## 1372 iPad mini Retina iPad mini Retina 0 299.00 1
## 1373 iPad mini Retina iPad mini Retina 0 303.67 1
## 1374 iPad mini Retina iPad mini Retina 0 339.00 1
## 1375 iPad mini Retina iPad mini Retina 0 350.00 1
## 1376 iPad mini Retina iPad mini Retina 0 420.00 1print(glb_allobs_df[(glb_allobs_df$productline == "Unknown") &
(glb_allobs_df$D.P.air > 0),
c(glb_id_var, glb_category_var, glb_dsp_cols, glb_txt_vars)])## UniqueID prdline.my sold .grpid color condition cellular carrier
## 946 10946 Unknown 0 <NA> Unknown Used Unknown Unknown
## 1360 11361 iPad Air 1 <NA> White Used 0 None
## 2433 12435 Unknown NA <NA> Space Gray Used Unknown Unknown
## storage
## 946 Unknown
## 1360 32
## 2433 128
## descr.my
## 946 Gently used apple iPad Air, no scratches on screen and almost no visible wear on back of item. No
## 1360 APPLE iPAD AIR 32GB WHITE MD789LL/ B WHITE. This item is Previously Lightly Used, in Good Condition.
## 2433 ***128gb*** black/ spacegray iPad Air excellent used condition(no scratches, dents, or blemishes)#glb_allobs_df[glb_allobs_df$UniqueID == 11863, "D.P.air"] <- 0
glb_allobs_df[(glb_allobs_df$D.P.air == 1) & (glb_allobs_df$productline == "Unknown"),
"prdline.my"] <- "iPad Air"
print(glb_allobs_df[(glb_allobs_df$UniqueID %in% c(11767, 11811, 12156)),
c(glb_id_var, "sold",
"prdline.my", "color", "condition", "cellular", "carrier", "storage", "descr.my")])## UniqueID sold prdline.my color condition cellular
## 1766 11767 0 Unknown Unknown For parts or not working Unknown
## 1810 11811 0 Unknown Black Seller refurbished 0
## 2154 12156 NA Unknown Black Used 0
## carrier storage
## 1766 Unknown Unknown
## 1810 None Unknown
## 2154 None 32
## descr.my
## 1766 Ipad 2 32gb Housing. Some scratches and small dents, but overall good condition.
## 1810 30 Day Warranty. Refurbished iPad 2 with scratching on screen and wear on back plate. Comes with
## 2154 Original IPAD 1st generation - used one owner (myself)Good shape as pictured. Fully functional asglb_allobs_df[glb_allobs_df$UniqueID == 11767, "prdline.my"] <- "iPad 2"
glb_allobs_df[glb_allobs_df$UniqueID == 11767, "storage"] <- "32"
glb_allobs_df[glb_allobs_df$UniqueID == 11811, "prdline.my"] <- "iPad 2"
glb_allobs_df[glb_allobs_df$UniqueID == 12156, "prdline.my"] <- "iPad 1"
# mydsp_obs(list(prdline.my="Unknown"), all=TRUE)
tmp_allobs_df <- glb_allobs_df[, "prdline.my", FALSE]
names(tmp_allobs_df) <- "old.prdline.my"
glb_allobs_df$prdline.my <-
plyr::revalue(glb_allobs_df$prdline.my, c(
# "iPad 1" = "iPad",
# "iPad 2" = "iPad2+",
"iPad 3" = "iPad 3+",
"iPad 4" = "iPad 3+",
"iPad 5" = "iPad 3+",
"iPad Air" = "iPadAir",
"iPad Air 2" = "iPadAir",
"iPad mini" = "iPadmini",
"iPad mini 2" = "iPadmini 2+",
"iPad mini 3" = "iPadmini 2+",
"iPad mini Retina" = "iPadmini 2+"
))
tmp_allobs_df$prdline.my <- glb_allobs_df[, "prdline.my"]
print(mycreate_sqlxtab_df(tmp_allobs_df, c("prdline.my", "old.prdline.my")))## prdline.my old.prdline.my .n
## 1 iPad 2 iPad 2 442
## 2 iPadmini iPad mini 393
## 3 iPad 1 iPad 1 314
## 4 Unknown Unknown 285
## 5 iPadAir iPad Air 257
## 6 iPadAir iPad Air 2 233
## 7 iPad 3+ iPad 4 225
## 8 iPad 3+ iPad 3 208
## 9 iPadmini 2+ iPad mini 2 163
## 10 iPadmini 2+ iPad mini 3 128
## 11 iPadmini 2+ iPad mini Retina 8
## 12 iPad 3+ iPad 5 1print(mycreate_sqlxtab_df(tmp_allobs_df, c("prdline.my")))## prdline.my .n
## 1 iPadAir 490
## 2 iPad 2 442
## 3 iPad 3+ 434
## 4 iPadmini 393
## 5 iPad 1 314
## 6 iPadmini 2+ 299
## 7 Unknown 285print(mycreate_sqlxtab_df(subset(glb_allobs_df, color == "Unknown"),
c("color", "D.P.black", "D.P.gold", "D.P.spacegray", "D.P.white")))## color D.P.black D.P.gold D.P.spacegray D.P.white .n
## 1 Unknown 0 0 0 0 1017
## 2 Unknown 0 0 0 1 4
## 3 Unknown 1 0 0 0 4
## 4 Unknown 0 0 1 0 1
## 5 Unknown 1 0 0 1 1print(glb_allobs_df[(glb_allobs_df$color == "Unknown") & (glb_allobs_df$D.P.black > 0),
c(glb_id_var, "color", "D.P.black", "sold", "prdline.my", "condition",
"cellular", "carrier", "storage", "descr.my")])## UniqueID color D.P.black sold prdline.my condition cellular carrier
## 631 10631 Unknown 1 1 iPad 2 Used 1 AT&T
## 683 10683 Unknown 1 0 iPad 2 Used 0 None
## 858 10858 Unknown 1 1 iPad 3+ Used 0 None
## 1243 11244 Unknown 1 0 Unknown Used Unknown Unknown
## 2135 12137 Unknown 1 NA iPad 1 Used 1 AT&T
## storage
## 631 16
## 683 32
## 858 16
## 1243 Unknown
## 2135 16
## descr.my
## 631 Very good condition. Minor bumps and bruises. Only scratches on screen are in non- viewing black
## 683 Comes with folding black case and is engraved in small letters on the back. Still works perfectly
## 858 screen cracked. name engraving in the back (blacked out)
## 1243 Ipad is in fair condition. Minor scratches on back. Edge around screen is black instead of white.
## 2135 Device is in AVERAGE used cosmetic condition with heavy scratches and wear. Color is black . Device isglb_allobs_df[glb_allobs_df$UniqueID == 12137, "color"] <- "Black"
print(glb_allobs_df[(glb_allobs_df$color == "Unknown") & (glb_allobs_df$D.P.spacegray > 0),
c(glb_id_var, "color", "D.P.spacegray", "prdline.my", "condition",
"cellular", "carrier", "storage", "descr.my")])## UniqueID color D.P.spacegray prdline.my condition cellular carrier
## 2104 12106 Unknown 1 iPadAir Used 0 None
## storage
## 2104 16
## descr.my
## 2104 This is an iPad Air first generation (spacegray color). It's a used iPad (just like new) as shown in theglb_allobs_df[glb_allobs_df$UniqueID %in% c(12106), "color"] <- "Space Gray"
print(glb_allobs_df[(glb_allobs_df$color == "Unknown") & (glb_allobs_df$D.P.white > 0),
c(glb_id_var, "color", "D.P.white", "prdline.my", "condition",
"cellular", "carrier", "storage", "descr.my")])## UniqueID color D.P.white prdline.my condition
## 573 10573 Unknown 1 iPadmini 2+ Used
## 809 10809 Unknown 1 iPad 3+ Used
## 925 10925 Unknown 1 iPadmini 2+ Used
## 1243 11244 Unknown 1 Unknown Used
## 1734 11735 Unknown 1 iPad 3+ For parts or not working
## cellular carrier storage
## 573 0 None 16
## 809 0 None 64
## 925 0 None 64
## 1243 Unknown Unknown Unknown
## 1734 1 Verizon 16
## descr.my
## 573 Like new white iPad mini no scratches always kept in case, sold with keyboard, box and cords
## 809 iPad 3 gen. 64GB, white, wifi- only. Condition = good as new, very minor sign of use. No charger.
## 925 iPad mini 2/ Retina Display/ Latest Model/ 64GB/ Wi- Fi/ Silver&White . Near Mint Condition excellent
## 1243 Ipad is in fair condition. Minor scratches on back. Edge around screen is black instead of white.
## 1734 Device is in POOR used cosmetic condition with cracked outer glass. Color is White. Device isglb_allobs_df[glb_allobs_df$UniqueID %in% c(10573, 10809, 10925, 11735), "color"] <-
"White"
glb_allobs_df$carrier.fctr <- as.factor(glb_allobs_df$carrier)
glb_allobs_df$cellular.fctr <- as.factor(glb_allobs_df$cellular)
glb_allobs_df$color.fctr <- as.factor(glb_allobs_df$color)
glb_allobs_df$prdline.my.fctr <- as.factor(glb_allobs_df$prdline.my)
glb_allobs_df$storage.fctr <- as.factor(glb_allobs_df$storage)
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
# glb_allobs_df %>%
# unite(prdl.my.descr, c(prdline.my, as.numeric(D.nchrs.log > 0), sep="#"))
glb_allobs_df$prdl.my.descr.fctr <- as.factor(paste(glb_allobs_df$prdline.my,
as.numeric(glb_allobs_df$D.nchrs.log > 0),
sep="#"))
print(table(glb_allobs_df$prdl.my.descr.fctr, glb_allobs_df$sold, useNA = "ifany"))##
## 0 1 <NA>
## Unknown#0 72 47 45
## Unknown#1 46 33 42
## iPad 1#0 53 69 46
## iPad 1#1 47 56 43
## iPad 2#0 57 80 83
## iPad 2#1 84 67 71
## iPad 3+#0 58 87 59
## iPad 3+#1 108 58 64
## iPadAir#0 125 95 88
## iPadAir#1 78 55 49
## iPadmini 2+#0 95 59 64
## iPadmini 2+#1 30 21 30
## iPadmini#0 94 79 65
## iPadmini#1 52 54 49print(mycreate_sqlxtab_df(glb_allobs_df, c("prdl.my.descr.fctr", "sold")))## prdl.my.descr.fctr sold .n
## 1 iPadAir#0 0 125
## 2 iPad 3+#1 0 108
## 3 iPadAir#0 1 95
## 4 iPadmini 2+#0 0 95
## 5 iPadmini#0 0 94
## 6 iPadAir#0 NA 88
## 7 iPad 3+#0 1 87
## 8 iPad 2#1 0 84
## 9 iPad 2#0 NA 83
## 10 iPad 2#0 1 80
## 11 iPadmini#0 1 79
## 12 iPadAir#1 0 78
## 13 Unknown#0 0 72
## 14 iPad 2#1 NA 71
## 15 iPad 1#0 1 69
## 16 iPad 2#1 1 67
## 17 iPadmini#0 NA 65
## 18 iPad 3+#1 NA 64
## 19 iPadmini 2+#0 NA 64
## 20 iPad 3+#0 NA 59
## 21 iPadmini 2+#0 1 59
## 22 iPad 3+#0 0 58
## 23 iPad 3+#1 1 58
## 24 iPad 2#0 0 57
## 25 iPad 1#1 1 56
## 26 iPadAir#1 1 55
## 27 iPadmini#1 1 54
## 28 iPad 1#0 0 53
## 29 iPadmini#1 0 52
## 30 iPadAir#1 NA 49
## 31 iPadmini#1 NA 49
## 32 Unknown#0 1 47
## 33 iPad 1#1 0 47
## 34 Unknown#1 0 46
## 35 iPad 1#0 NA 46
## 36 Unknown#0 NA 45
## 37 iPad 1#1 NA 43
## 38 Unknown#1 NA 42
## 39 Unknown#1 1 33
## 40 iPadmini 2+#1 NA 30
## 41 iPadmini 2+#1 0 30
## 42 iPadmini 2+#1 1 21glb_category_var <- "prdl.my.descr.fctr"
# print(sapply(names(glb_trnobs_df), function(col) sum(is.na(glb_trnobs_df[, col]))))
# print(sapply(names(glb_newobs_df), function(col) sum(is.na(glb_newobs_df[, col]))))
# print(myplot_scatter(glb_trnobs_df, "<col1_name>", "<col2_name>", smooth=TRUE))
rm(corpus_lst, full_TfIdf_DTM, full_TfIdf_vctr,
glb_full_DTM_lst, glb_sprs_DTM_lst, txt_corpus, txt_vctr)## Warning in rm(corpus_lst, full_TfIdf_DTM, full_TfIdf_vctr,
## glb_full_DTM_lst, : object 'corpus_lst' not found## Warning in rm(corpus_lst, full_TfIdf_DTM, full_TfIdf_vctr,
## glb_full_DTM_lst, : object 'full_TfIdf_vctr' not foundextract.features_chunk_df <- myadd_chunk(extract.features_chunk_df, "extract.features_end",
major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 9 extract.features_bind.DXM 8 0 39.320 50.753 11.433
## 10 extract.features_end 9 0 50.754 NA NAmyplt_chunk(extract.features_chunk_df)## label step_major
## 9 extract.features_bind.DXM 8
## 5 extract.features_build.corpus 4
## 8 extract.features_bind.DTM 7
## 7 extract.features_report.DTM 6
## 3 extract.features_process.text 3
## 6 extract.features_extract.DTM 5
## 2 extract.features_factorize.str.vars 2
## 1 extract.features_bgn 1
## 4 extract.features_process.text_reporting_compound_terms 3
## step_minor bgn end elapsed duration
## 9 0 39.320 50.753 11.433 11.433
## 5 0 18.491 29.046 10.555 10.555
## 8 0 32.509 39.320 6.811 6.811
## 7 0 30.277 32.509 2.232 2.232
## 3 0 16.597 18.486 1.889 1.889
## 6 0 29.046 30.276 1.231 1.230
## 2 0 15.412 16.596 1.184 1.184
## 1 0 15.399 15.411 0.013 0.012
## 4 1 18.486 18.490 0.004 0.004
## [1] "Total Elapsed Time: 50.753 secs"
# if (glb_save_envir)
# save(glb_feats_df,
# glb_allobs_df, #glb_trnobs_df, glb_fitobs_df, glb_OOBobs_df, glb_newobs_df,
# file=paste0(glb_out_pfx, "extract_features_dsk.RData"))
# load(paste0(glb_out_pfx, "extract_features_dsk.RData"))
replay.petrisim(pn=glb_analytics_pn,
replay.trans=(glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
"data.training.all","data.new")), flip_coord=TRUE)## time trans "bgn " "fit.data.training.all " "predict.data.new " "end "
## 0.0000 multiple enabled transitions: data.training.all data.new model.selected firing: data.training.all
## 1.0000 1 2 1 0 0
## 1.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction firing: data.new
## 2.0000 2 1 1 1 0
glb_chunks_df <- myadd_chunk(glb_chunks_df, "cluster.data", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 5 extract.features 3 0 15.394 52.355 36.962
## 6 cluster.data 4 0 52.356 NA NAStep 4.0: cluster data
glb_chunks_df <- myadd_chunk(glb_chunks_df, "manage.missing.data", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 6 cluster.data 4 0 52.356 54.05 1.694
## 7 manage.missing.data 4 1 54.051 NA NA# If mice crashes with error: Error in get(as.character(FUN), mode = "function", envir = envir) : object 'State' of mode 'function' was not found
# consider excluding 'State' as a feature
# print(sapply(names(glb_trnobs_df), function(col) sum(is.na(glb_trnobs_df[, col]))))
# print(sapply(names(glb_newobs_df), function(col) sum(is.na(glb_newobs_df[, col]))))
# glb_trnobs_df <- na.omit(glb_trnobs_df)
# glb_newobs_df <- na.omit(glb_newobs_df)
# df[is.na(df)] <- 0
mycheck_problem_data(glb_allobs_df)## [1] "numeric data missing in : "
## sold
## 798
## [1] "numeric data w/ 0s in : "
## biddable sold startprice.log
## 1444 999 31
## cellular.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1600 1521 1521
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1521 1521 1521
## D.TfIdf.sum.post.stem D.T.condit D.T.use
## 1521 2158 2366
## D.T.scratch D.T.new D.T.good
## 2371 2501 2460
## D.T.screen D.T.great D.T.ipad
## 2444 2532 2425
## D.T.work D.T.excel D.T.like
## 2459 2557 2584
## D.T.box D.T.function. D.T.item
## 2547 2541 2528
## D.T.fulli D.T.cosmet D.T.minor
## 2569 2540 2540
## D.T.mint D.T.crack D.T.wear
## 2594 2580 2556
## D.T.perfect D.T.includ D.T.lock
## 2602 2574 2614
## D.T.case D.T.icloud D.T.see
## 2575 2601 2604
## D.T.light D.T.devic D.T.pleas
## 2576 2577 2590
## D.T.back D.T.origin D.T.dent
## 2580 2599 2592
## D.T.hous D.T.sign D.T.open
## 2585 2580 2613
## D.T.clean D.T.will D.T.appl
## 2615 2618 2598
## D.T.charger D.T.damag D.T.X100
## 2619 2626 2593
## D.T.come D.T.scuff D.T.corner
## 2602 2615 2612
## D.T.small D.T.broken D.T.descript
## 2611 2637 2624
## D.T.unit D.T.refurbish D.T.show
## 2617 2623 2606
## D.T.shape D.T.read D.T.test
## 2632 2626 2620
## D.T.pictur D.T.bare D.T.brand
## 2624 2637 2627
## D.T.list D.T.may D.T.mark
## 2616 2619 2629
## D.T.blemish D.T.packag D.T.mini
## 2625 2631 2623
## D.T.affect D.T.normal D.T.tab
## 2629 2626 2630
## D.T.top D.T.accessori D.T.ding
## 2633 2629 2632
## D.T.near D.T.digit D.T.photo
## 2623 2639 2634
## D.T.tear D.T.display D.T.minim
## 2626 2634 2629
## D.T.wifi D.T.order D.T.protector
## 2632 2636 2639
## D.T.kept D.T.right D.T.previous
## 2637 2638 2634
## D.T.button D.T.alway D.T.contact
## 2638 2639 2642
## D.T.fair D.T.air D.T.esn
## 2635 2636 2641
## D.T.full D.T.averag D.T.free
## 2641 2642 2638
## D.T.sinc D.T.imei D.T.cabl
## 2640 2640 2639
## D.T.seal D.T.profession D.T.overal
## 2647 2641 2643
## D.T.retail D.T.refer D.T.left
## 2648 2646 2646
## D.T.stock D.T.two D.T.detail
## 2643 2648 2650
## D.T.bodi D.T.seller D.T.activ
## 2648 2643 2648
## D.T.phone D.T.problem D.T.manufactur
## 2647 2651 2649
## D.T.side D.T.certifi D.T.ship
## 2648 2647 2646
## D.T.chip D.T.edg D.T.inspect
## 2651 2647 2648
## D.T.heavili D.T.keyboard D.T.non
## 2646 2651 2649
## D.T.geek D.T.squad D.T.handset
## 2652 2652 2650
## D.T.upper D.T.sticker D.T.scroll
## 2651 2649 2652
## D.T.must D.T.contain D.T.imag
## 2649 2652 2654
## D.T.qualiti D.T.anoth D.T.pic
## 2651 2652 2653
## D.T.least D.T.correct D.T.featur
## 2653 2652 2652
## D.T.technician D.T.super D.T.expect
## 2652 2655 2655
## D.T.sync D.T.speaker D.T.name
## 2652 2654 2654
## D.T.lightn D.T.X2016 D.T.passcod
## 2652 2653 2654
## D.T.money D.T.els D.T.stylus
## 2655 2654 2655
## D.T.corpor D.T.intro D.T.higher
## 2655 2656 2656
## D.T.beetl D.T.defens D.T.disclaim
## 2656 2656 2656
## D.T.essenti D.T.final D.T.repeat.
## 2656 2656 2656
## D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1520 1521 1521
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1521 1520 1522
## D.ndgts.log D.npnct01.log D.npnct02.log
## 2427 2579 2657
## D.npnct03.log D.npnct04.log D.npnct05.log
## 2614 2657 2592
## D.npnct06.log D.npnct07.log D.npnct08.log
## 2554 2656 2581
## D.npnct09.log D.npnct10.log D.npnct11.log
## 2641 2648 2301
## D.npnct12.log D.npnct13.log D.npnct14.log
## 2538 1932 2582
## D.npnct15.log D.npnct16.log D.npnct17.log
## 2637 2546 2657
## D.npnct18.log D.npnct19.log D.npnct20.log
## 2656 2657 2657
## D.npnct21.log D.npnct22.log D.npnct23.log
## 2657 2657 2657
## D.npnct24.log D.npnct25.log D.npnct26.log
## 1520 2657 2657
## D.npnct27.log D.npnct28.log D.npnct29.log
## 2657 2649 2657
## D.npnct30.log D.nstopwrds.log D.P.http
## 2657 1664 2657
## D.P.mini D.P.air D.P.black
## 2623 2636 2640
## D.P.white D.P.gold D.P.spacegray
## 2647 2655 2650
## [1] "numeric data w/ Infs in : "
## named integer(0)
## [1] "numeric data w/ NaNs in : "
## named integer(0)
## [1] "string data missing in : "
## description condition cellular carrier color storage
## 1520 0 0 0 0 0
## productline .grpid prdline.my descr.my
## 0 NA 0 1520# glb_allobs_df <- na.omit(glb_allobs_df)
# Not refactored into mydsutils.R since glb_*_df might be reassigned
glb_impute_missing_data <- function() {
require(mice)
set.seed(glb_mice_complete.seed)
inp_impent_df <- glb_allobs_df[, setdiff(names(glb_allobs_df),
union(glb_exclude_vars_as_features, glb_rsp_var))]
print("Summary before imputation: ")
print(summary(inp_impent_df))
out_impent_df <- complete(mice(inp_impent_df))
print(summary(out_impent_df))
ret_vars <- sapply(names(out_impent_df),
function(col) ifelse(!identical(out_impent_df[, col],
inp_impent_df[, col]),
col, ""))
ret_vars <- ret_vars[ret_vars != ""]
# complete(mice()) changes attributes of factors even though values don't change
for (col in ret_vars) {
if (inherits(out_impent_df[, col], "factor")) {
if (identical(as.numeric(out_impent_df[, col]),
as.numeric(inp_impent_df[, col])))
ret_vars <- setdiff(ret_vars, col)
}
}
return(out_impent_df[, ret_vars])
}
if (glb_impute_na_data &&
(length(myfind_numerics_missing(glb_allobs_df)) > 0) &&
(ncol(nonna_df <- glb_impute_missing_data()) > 0)) {
for (col in names(nonna_df)) {
glb_allobs_df[, paste0(col, ".nonNA")] <- nonna_df[, col]
glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features, col)
}
}
mycheck_problem_data(glb_allobs_df, terminate = TRUE)## [1] "numeric data missing in : "
## sold
## 798
## [1] "numeric data w/ 0s in : "
## biddable sold startprice.log
## 1444 999 31
## cellular.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1600 1521 1521
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1521 1521 1521
## D.TfIdf.sum.post.stem D.T.condit D.T.use
## 1521 2158 2366
## D.T.scratch D.T.new D.T.good
## 2371 2501 2460
## D.T.screen D.T.great D.T.ipad
## 2444 2532 2425
## D.T.work D.T.excel D.T.like
## 2459 2557 2584
## D.T.box D.T.function. D.T.item
## 2547 2541 2528
## D.T.fulli D.T.cosmet D.T.minor
## 2569 2540 2540
## D.T.mint D.T.crack D.T.wear
## 2594 2580 2556
## D.T.perfect D.T.includ D.T.lock
## 2602 2574 2614
## D.T.case D.T.icloud D.T.see
## 2575 2601 2604
## D.T.light D.T.devic D.T.pleas
## 2576 2577 2590
## D.T.back D.T.origin D.T.dent
## 2580 2599 2592
## D.T.hous D.T.sign D.T.open
## 2585 2580 2613
## D.T.clean D.T.will D.T.appl
## 2615 2618 2598
## D.T.charger D.T.damag D.T.X100
## 2619 2626 2593
## D.T.come D.T.scuff D.T.corner
## 2602 2615 2612
## D.T.small D.T.broken D.T.descript
## 2611 2637 2624
## D.T.unit D.T.refurbish D.T.show
## 2617 2623 2606
## D.T.shape D.T.read D.T.test
## 2632 2626 2620
## D.T.pictur D.T.bare D.T.brand
## 2624 2637 2627
## D.T.list D.T.may D.T.mark
## 2616 2619 2629
## D.T.blemish D.T.packag D.T.mini
## 2625 2631 2623
## D.T.affect D.T.normal D.T.tab
## 2629 2626 2630
## D.T.top D.T.accessori D.T.ding
## 2633 2629 2632
## D.T.near D.T.digit D.T.photo
## 2623 2639 2634
## D.T.tear D.T.display D.T.minim
## 2626 2634 2629
## D.T.wifi D.T.order D.T.protector
## 2632 2636 2639
## D.T.kept D.T.right D.T.previous
## 2637 2638 2634
## D.T.button D.T.alway D.T.contact
## 2638 2639 2642
## D.T.fair D.T.air D.T.esn
## 2635 2636 2641
## D.T.full D.T.averag D.T.free
## 2641 2642 2638
## D.T.sinc D.T.imei D.T.cabl
## 2640 2640 2639
## D.T.seal D.T.profession D.T.overal
## 2647 2641 2643
## D.T.retail D.T.refer D.T.left
## 2648 2646 2646
## D.T.stock D.T.two D.T.detail
## 2643 2648 2650
## D.T.bodi D.T.seller D.T.activ
## 2648 2643 2648
## D.T.phone D.T.problem D.T.manufactur
## 2647 2651 2649
## D.T.side D.T.certifi D.T.ship
## 2648 2647 2646
## D.T.chip D.T.edg D.T.inspect
## 2651 2647 2648
## D.T.heavili D.T.keyboard D.T.non
## 2646 2651 2649
## D.T.geek D.T.squad D.T.handset
## 2652 2652 2650
## D.T.upper D.T.sticker D.T.scroll
## 2651 2649 2652
## D.T.must D.T.contain D.T.imag
## 2649 2652 2654
## D.T.qualiti D.T.anoth D.T.pic
## 2651 2652 2653
## D.T.least D.T.correct D.T.featur
## 2653 2652 2652
## D.T.technician D.T.super D.T.expect
## 2652 2655 2655
## D.T.sync D.T.speaker D.T.name
## 2652 2654 2654
## D.T.lightn D.T.X2016 D.T.passcod
## 2652 2653 2654
## D.T.money D.T.els D.T.stylus
## 2655 2654 2655
## D.T.corpor D.T.intro D.T.higher
## 2655 2656 2656
## D.T.beetl D.T.defens D.T.disclaim
## 2656 2656 2656
## D.T.essenti D.T.final D.T.repeat.
## 2656 2656 2656
## D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1520 1521 1521
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1521 1520 1522
## D.ndgts.log D.npnct01.log D.npnct02.log
## 2427 2579 2657
## D.npnct03.log D.npnct04.log D.npnct05.log
## 2614 2657 2592
## D.npnct06.log D.npnct07.log D.npnct08.log
## 2554 2656 2581
## D.npnct09.log D.npnct10.log D.npnct11.log
## 2641 2648 2301
## D.npnct12.log D.npnct13.log D.npnct14.log
## 2538 1932 2582
## D.npnct15.log D.npnct16.log D.npnct17.log
## 2637 2546 2657
## D.npnct18.log D.npnct19.log D.npnct20.log
## 2656 2657 2657
## D.npnct21.log D.npnct22.log D.npnct23.log
## 2657 2657 2657
## D.npnct24.log D.npnct25.log D.npnct26.log
## 1520 2657 2657
## D.npnct27.log D.npnct28.log D.npnct29.log
## 2657 2649 2657
## D.npnct30.log D.nstopwrds.log D.P.http
## 2657 1664 2657
## D.P.mini D.P.air D.P.black
## 2623 2636 2640
## D.P.white D.P.gold D.P.spacegray
## 2647 2655 2650
## [1] "numeric data w/ Infs in : "
## named integer(0)
## [1] "numeric data w/ NaNs in : "
## named integer(0)
## [1] "string data missing in : "
## description condition cellular carrier color storage
## 1520 0 0 0 0 0
## productline .grpid prdline.my descr.my
## 0 NA 0 1520Step 4.1: manage missing data
if (glb_cluster) {
require(proxy)
#require(hash)
require(dynamicTreeCut)
require(entropy)
require(tidyr)
# glb_hash <- hash(key=unique(glb_allobs_df$myCategory),
# values=1:length(unique(glb_allobs_df$myCategory)))
# glb_hash_lst <- hash(key=unique(glb_allobs_df$myCategory),
# values=1:length(unique(glb_allobs_df$myCategory)))
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
print("Clustering features: ")
print(cluster_vars <- grep(paste0("[",
toupper(paste0(substr(glb_txt_vars, 1, 1), collapse="")),
"]\\.[PT]\\."),
names(glb_allobs_df), value=TRUE))
print(sprintf("glb_allobs_df Entropy: %0.4f",
allobs_ent <- entropy(table(glb_allobs_df[, glb_cluster_entropy_var]),
method="ML")))
category_df <- as.data.frame(table(glb_allobs_df[, glb_category_var],
glb_allobs_df[, glb_cluster_entropy_var]))
names(category_df)[c(1, 2)] <- c(glb_category_var, glb_cluster_entropy_var)
category_df <- do.call(tidyr::spread,
list(category_df, glb_cluster_entropy_var, "Freq"))
tmp.entropy <- sapply(1:nrow(category_df),
function(row) entropy(as.numeric(category_df[row, -1]), method="ML"))
tmp.knt <- sapply(1:nrow(category_df),
function(row) sum(as.numeric(category_df[row, -1])))
category_df$.entropy <- tmp.entropy; category_df$.knt <- tmp.knt
print(sprintf("glb_allobs_df$%s Entropy: %0.4f (%0.4f pct)", glb_category_var,
category_ent <- weighted.mean(category_df$.entropy, category_df$.knt),
100 * category_ent / allobs_ent))
print(category_df)
glb_allobs_df$.clusterid <- 1
#print(max(table(glb_allobs_df$myCategory.fctr) / 20))
for (grp in sort(unique(glb_allobs_df[, glb_category_var]))) {
print(sprintf("Category: %s", grp))
ctgry_allobs_df <- glb_allobs_df[glb_allobs_df[, glb_category_var] == grp, ]
if (!inherits(ctgry_allobs_df[, glb_cluster_entropy_var], "factor"))
ctgry_allobs_df[, glb_cluster_entropy_var] <-
as.factor(ctgry_allobs_df[, glb_cluster_entropy_var])
dstns_dist <- dist(ctgry_allobs_df[, cluster_vars], method = "cosine")
dstns_mtrx <- as.matrix(dstns_dist)
print(sprintf("max distance(%0.4f) pair:", max(dstns_mtrx)))
row_ix <- ceiling(which.max(dstns_mtrx) / ncol(dstns_mtrx))
col_ix <- which.max(dstns_mtrx[row_ix, ])
print(ctgry_allobs_df[c(row_ix, col_ix),
c(glb_id_var, glb_cluster_entropy_var, glb_category_var, glb_txt_vars, cluster_vars)])
min_dstns_mtrx <- dstns_mtrx
diag(min_dstns_mtrx) <- 1
# Float representations issue -2.22e-16 vs. 0.0000
print(sprintf("min distance(%0.4f) pair:", min(min_dstns_mtrx)))
row_ix <- ceiling(which.min(min_dstns_mtrx) / ncol(min_dstns_mtrx))
col_ix <- which.min(min_dstns_mtrx[row_ix, ])
print(ctgry_allobs_df[c(row_ix, col_ix),
c(glb_id_var, glb_cluster_entropy_var, glb_category_var, glb_txt_vars,
cluster_vars)])
set.seed(glb_cluster.seed)
clusters <- hclust(dstns_dist, method = "ward.D2")
#plot(clusters, labels=NULL, hang=-1)
myplclust(clusters, lab.col=unclass(ctgry_allobs_df[, glb_cluster_entropy_var]))
#clusterGroups = cutree(clusters, k=7)
clusterGroups <- cutreeDynamic(clusters, minClusterSize=10, method="tree",
deepSplit=0)
# Unassigned groups are labeled 0; the largest group has label 1
table(clusterGroups, ctgry_allobs_df[, glb_cluster_entropy_var], useNA="ifany")
#print(ctgry_allobs_df[which(clusterGroups == 1), c("UniqueID", "Popular", "Headline")])
#print(ctgry_allobs_df[(clusterGroups == 1) & !is.na(ctgry_allobs_df$Popular) & (ctgry_allobs_df$Popular==1), c("UniqueID", "Popular", "Headline")])
clusterGroups[clusterGroups == 0] <- 1
table(clusterGroups, ctgry_allobs_df[, glb_cluster_entropy_var], useNA="ifany")
#summary(factor(clusterGroups))
# clusterGroups <- clusterGroups +
# 100 * # has to be > max(table(glb_allobs_df[, glb_category_var].fctr) / minClusterSize=20)
# which(levels(glb_allobs_df[, glb_category_var].fctr) == grp)
# table(clusterGroups, ctgry_allobs_df[, glb_cluster_entropy_var], useNA="ifany")
# add to glb_allobs_df - then split the data again
glb_allobs_df[glb_allobs_df[, glb_category_var]==grp,]$.clusterid <- clusterGroups
#print(unique(glb_allobs_df$.clusterid))
#print(glb_feats_df[glb_feats_df$id == ".clusterid.fctr", ])
}
cluster_df <- as.data.frame(table(glb_allobs_df[, glb_category_var],
glb_allobs_df[, ".clusterid"],
glb_allobs_df[, glb_cluster_entropy_var]))
cluster_df <- subset(cluster_df, Freq > 0)
names(cluster_df)[c(1, 2, 3)] <- c(glb_category_var, ".clusterid",
glb_cluster_entropy_var)
# spread(unite(cluster_df, prdline.my.clusterid, prdline.my, .clusterid),
# sold.fctr, Freq)
cluster_df <- do.call(tidyr::unite,
list(cluster_df, paste0(glb_category_var, ".clusterid"),
grep(glb_category_var, names(cluster_df)),
grep(".clusterid", names(cluster_df))))
cluster_df <- do.call(tidyr::spread,
list(cluster_df, glb_cluster_entropy_var, "Freq"))
cluster_df[is.na(cluster_df)] <- 0
tmp.entropy <- sapply(1:nrow(cluster_df),
function(row) entropy(as.numeric(cluster_df[row, -1]), method="ML"))
tmp.knt <- sapply(1:nrow(cluster_df),
function(row) sum(as.numeric(cluster_df[row, -1])))
cluster_df$.entropy <- tmp.entropy; cluster_df$.knt <- tmp.knt
print(sprintf("glb_allobs_df$%s$.clusterid Entropy: %0.4f (%0.4f pct)",
glb_category_var,
cluster_ent <- weighted.mean(cluster_df$.entropy, cluster_df$.knt),
100 * cluster_ent / category_ent))
print(cluster_df)
glb_allobs_df$.clusterid.fctr <- as.factor(glb_allobs_df$.clusterid)
glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features,
".clusterid")
glb_interaction_only_features[ifelse(grepl("\\.fctr", glb_category_var),
glb_category_var,
paste0(glb_category_var, ".fctr"))] <-
c(".clusterid.fctr")
glb_exclude_vars_as_features <- c(glb_exclude_vars_as_features,
cluster_vars)
}## Loading required package: proxy
##
## Attaching package: 'proxy'
##
## The following objects are masked from 'package:stats':
##
## as.dist, dist
##
## The following object is masked from 'package:base':
##
## as.matrix
##
## Loading required package: dynamicTreeCut
## Loading required package: entropy## [1] "Clustering features: "
## [1] "D.T.condit" "D.T.use" "D.T.scratch" "D.T.new"
## [5] "D.T.good" "D.T.screen" "D.T.great" "D.T.ipad"
## [9] "D.T.work" "D.T.excel" "D.T.like" "D.T.box"
## [13] "D.T.function." "D.T.item" "D.T.fulli" "D.T.cosmet"
## [17] "D.T.minor" "D.T.mint" "D.T.crack" "D.T.wear"
## [21] "D.T.perfect" "D.T.includ" "D.T.lock" "D.T.case"
## [25] "D.T.icloud" "D.T.see" "D.T.light" "D.T.devic"
## [29] "D.T.pleas" "D.T.back" "D.T.origin" "D.T.dent"
## [33] "D.T.hous" "D.T.sign" "D.T.open" "D.T.clean"
## [37] "D.T.will" "D.T.appl" "D.T.charger" "D.T.damag"
## [41] "D.T.X100" "D.T.come" "D.T.scuff" "D.T.corner"
## [45] "D.T.small" "D.T.broken" "D.T.descript" "D.T.unit"
## [49] "D.T.refurbish" "D.T.show" "D.T.shape" "D.T.read"
## [53] "D.T.test" "D.T.pictur" "D.T.bare" "D.T.brand"
## [57] "D.T.list" "D.T.may" "D.T.mark" "D.T.blemish"
## [61] "D.T.packag" "D.T.mini" "D.T.affect" "D.T.normal"
## [65] "D.T.tab" "D.T.top" "D.T.accessori" "D.T.ding"
## [69] "D.T.near" "D.T.digit" "D.T.photo" "D.T.tear"
## [73] "D.T.display" "D.T.minim" "D.T.wifi" "D.T.order"
## [77] "D.T.protector" "D.T.kept" "D.T.right" "D.T.previous"
## [81] "D.T.button" "D.T.alway" "D.T.contact" "D.T.fair"
## [85] "D.T.air" "D.T.esn" "D.T.full" "D.T.averag"
## [89] "D.T.free" "D.T.sinc" "D.T.imei" "D.T.cabl"
## [93] "D.T.seal" "D.T.profession" "D.T.overal" "D.T.retail"
## [97] "D.T.refer" "D.T.left" "D.T.stock" "D.T.two"
## [101] "D.T.detail" "D.T.bodi" "D.T.seller" "D.T.activ"
## [105] "D.T.phone" "D.T.problem" "D.T.manufactur" "D.T.side"
## [109] "D.T.certifi" "D.T.ship" "D.T.chip" "D.T.edg"
## [113] "D.T.inspect" "D.T.heavili" "D.T.keyboard" "D.T.non"
## [117] "D.T.geek" "D.T.squad" "D.T.handset" "D.T.upper"
## [121] "D.T.sticker" "D.T.scroll" "D.T.must" "D.T.contain"
## [125] "D.T.imag" "D.T.qualiti" "D.T.anoth" "D.T.pic"
## [129] "D.T.least" "D.T.correct" "D.T.featur" "D.T.technician"
## [133] "D.T.super" "D.T.expect" "D.T.sync" "D.T.speaker"
## [137] "D.T.name" "D.T.lightn" "D.T.X2016" "D.T.passcod"
## [141] "D.T.money" "D.T.els" "D.T.stylus" "D.T.corpor"
## [145] "D.T.intro" "D.T.higher" "D.T.beetl" "D.T.defens"
## [149] "D.T.disclaim" "D.T.essenti" "D.T.final" "D.T.repeat."
## [153] "D.P.http" "D.P.mini" "D.P.air" "D.P.black"
## [157] "D.P.white" "D.P.gold" "D.P.spacegray"
## [1] "glb_allobs_df Entropy: 0.6903"
## [1] "glb_allobs_df$prdl.my.descr.fctr Entropy: 0.6779 (98.1925 pct)"
## prdl.my.descr.fctr 0 1 .entropy .knt
## 1 Unknown#0 72 47 0.6709143 119
## 2 Unknown#1 46 33 0.6795459 79
## 3 iPad 1#0 53 69 0.6845225 122
## 4 iPad 1#1 47 56 0.6893248 103
## 5 iPad 2#0 57 80 0.6789878 137
## 6 iPad 2#1 84 67 0.6867963 151
## 7 iPad 3+#0 58 87 0.6730117 145
## 8 iPad 3+#1 108 58 0.6470729 166
## 9 iPadAir#0 125 95 0.6838206 220
## 10 iPadAir#1 78 55 0.6781190 133
## 11 iPadmini 2+#0 95 59 0.6655694 154
## 12 iPadmini 2+#1 30 21 0.6774944 51
## 13 iPadmini#0 94 79 0.6893836 173
## 14 iPadmini#1 52 54 0.6929692 106
## [1] "Category: Unknown#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 24 10024 0 Unknown#0 0 0
## 24.1 10024 0 Unknown#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.heavili D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.upper D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker D.T.name
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim
## 24 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0
## D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black
## 24 0 0 0 0 0 0 0
## 24.1 0 0 0 0 0 0 0
## D.P.white D.P.gold D.P.spacegray
## 24 0 0 0
## 24.1 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 24 10024 0 Unknown#0 0 0
## 66 10066 0 Unknown#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 24 0 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 24 0 0 0 0 0 0 0
## 66 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 24 0 0 0 0 0 0
## 66 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 24 0 0 0 0 0
## 66 0 0 0 0 0
## [1] "Category: Unknown#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 5 10005 0 Unknown#1
## 130 10130 1 Unknown#1
## descr.my
## 5 Please feel free to buy. All product have been thoroughly inspected, cleaned and tested to be 100%
## 130 New - Open Box. Charger included.
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 5 0 0 0 0.0000000 0 0 0
## 130 0 0 0 0.8180361 0 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 5 0 0 0 0 0.0000000 0 0
## 130 0 0 0 0 0.9188446 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 5 0.000000 0 0 0 0 0 0
## 130 1.000109 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 5 0.5309493 0 0 0 0 0 0.00000
## 130 0.0000000 0 0 0 0 0 1.18323
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 5 0.5983265 0 0 0.000000 0 0.5375583 0
## 130 0.0000000 0 0 1.225531 0 0.0000000 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 5 0 0 0 0 0.6166129 0
## 130 0 0 0 0 0.0000000 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 5 0.7127655 0 0 0 0 0
## 130 0.0000000 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 5 0 0 0 0 0 0.8205658 0
## 130 0 0 0 0 0 0.0000000 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 5 0 0 0 0 0 0
## 130 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 5 0 0 0 0 0 0 0
## 130 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 5 0 0
## 130 0 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 244 10244 0 Unknown#1
## 1293 11294 0 Unknown#1
## descr.my
## 244 Sync/ Charge cable included. Unit is in perfect working order with only minimal scuffs. No earbuds
## 1293 Sync/ Charge cable included. Unit is in perfect working order with only minimal scuffs. No earbuds
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 244 0 0.340566 0 0 0 0 0
## 1293 0 0.340566 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light
## 244 0.5085657 0.4545948 0 0 0 0 0
## 1293 0.5085657 0.4545948 0 0 0 0 0
## D.T.devic D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.open D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.come D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript
## 244 0 0.5439332 0 0 0 0
## 1293 0 0.5439332 0 0 0 0
## D.T.unit D.T.refurbish D.T.show D.T.shape D.T.read D.T.test
## 244 0.5503322 0 0 0 0 0
## 1293 0.5503322 0 0 0 0 0
## D.T.pictur D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.packag D.T.mini D.T.affect D.T.normal D.T.tab D.T.top
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo D.T.tear
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.display D.T.minim D.T.wifi D.T.order D.T.protector D.T.kept
## 244 0 0.5971116 0 0.6348423 0 0
## 1293 0 0.5971116 0 0.6348423 0 0
## D.T.right D.T.previous D.T.button D.T.alway D.T.contact D.T.fair
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 244 0.6550598 0 0 0 0 0
## 1293 0.6550598 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 244 0 0 0 0 0 0 0
## 1293 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 244 0 0 0 0 0 0.8230595
## 1293 0 0 0 0 0 0.8230595
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 244 0 0 0 0 0 0
## 1293 0 0 0 0 0 0
## [1] "Category: iPad 1#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 9 10009 1 iPad 1#0 0 0
## 9.1 10009 1 iPad 1#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 9 0 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 9 0 0 0 0 0 0
## 9.1 0 0 0 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 9 10009 1 iPad 1#0 0 0
## 12 10012 0 iPad 1#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 9 0 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 9 0 0 0 0 0 0 0
## 12 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 9 0 0 0 0 0 0
## 12 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 9 0 0 0 0 0
## 12 0 0 0 0 0
## [1] "Category: iPad 1#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 13 10013 1 iPad 1#1
## 68 10068 1 iPad 1#1
## descr.my
## 13 GOOD CONDITION. CLEAN ICLOUD. NO LOCKS. CLEAN IMEI. This tablet has been fully tested and works
## 68 14 Days Warranty. Product has some sign of wear and scratches from previous use. (Please see
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 13 0.2193351 0.0000000 0.0000000 0 0.3412301 0 0
## 68 0.0000000 0.3190707 0.3215711 0 0.0000000 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 13 0 0.340566 0 0 0 0 0
## 68 0 0.000000 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 13 0.4469228 0 0 0 0 0.0000000 0
## 68 0.0000000 0 0 0 0 0.4717371 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 13 0 0.5408471 0 0.5062025 0.0000000 0 0
## 68 0 0.0000000 0 0.0000000 0.5647662 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 13 0.0000000 0 0 0 0 0.0000000 0
## 68 0.5309493 0 0 0 0 0.5108796 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 13 1.087866 0 0 0 0 0 0
## 68 0.000000 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 13 0 0 0 0 0.5605572 0 0
## 68 0 0 0 0 0.0000000 0 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 13 0 0 0 0.0000000 0 0
## 68 0 0 0 0.6852021 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 13 0 0.6625563 0 0 0 0
## 68 0 0.0000000 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn D.T.X2016
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor D.T.intro
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti D.T.final
## 13 0 0 0 0 0 0
## 68 0 0 0 0 0 0
## D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white D.P.gold
## 13 0 0 0 0 0 0 0
## 68 0 0 0 0 0 0 0
## D.P.spacegray
## 13 0
## 68 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 1046 11046 0 iPad 1#1
## 2371 12373 <NA> iPad 1#1
## descr.my
## 1046 This TAB is in average condition with some scratches on the housing or screen (does not affect
## 2371 This TAB is in average condition with some scratches on the housing or screen (does not affect
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 1046 0.3446695 0 0.4593873 0 0 0.5201247 0
## 2371 0.3446695 0 0.4593873 0 0 0.5201247 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.devic D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign
## 1046 0 0 0 0 0 0.7436654 0
## 2371 0 0 0 0 0 0.7436654 0
## D.T.open D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.come D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.unit D.T.refurbish D.T.show D.T.shape D.T.read D.T.test
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.pictur D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.packag D.T.mini D.T.affect D.T.normal D.T.tab D.T.top
## 1046 0 0 0.9383182 0 0.9458136 0
## 2371 0 0 0.9383182 0 0.9458136 0
## D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo D.T.tear
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.display D.T.minim D.T.wifi D.T.order D.T.protector D.T.kept
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.right D.T.previous D.T.button D.T.alway D.T.contact D.T.fair
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 1046 0 0 0 1.066956 0 0 0
## 2371 0 0 0 1.066956 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 1046 0 0 0 0 0 0 0
## 2371 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 1046 0 0 0 0 0 0
## 2371 0 0 0 0 0 0
## [1] "Category: iPad 2#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 39 10039 0 iPad 2#0 0 0
## 39.1 10039 0 iPad 2#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.heavili D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.upper D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker D.T.name
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim
## 39 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0
## D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black
## 39 0 0 0 0 0 0 0
## 39.1 0 0 0 0 0 0 0
## D.P.white D.P.gold D.P.spacegray
## 39 0 0 0
## 39.1 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 39 10039 0 iPad 2#0 0 0
## 73 10073 1 iPad 2#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 39 0 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 39 0 0 0 0 0 0 0
## 73 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 39 0 0 0 0 0 0
## 73 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 39 0 0 0 0 0
## 73 0 0 0 0 0
## [1] "Category: iPad 2#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 1 10001 0 iPad 2#1
## 2 10002 1 iPad 2#1
## descr.my
## 1 iPad is in 8.5+ out of 10 cosmetic condition!
## 2 Previously used, please read description. May show signs of use such as scratches to the screen and
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 1 0.8042288 0.0000000 0.0000000 0 0 0.0000000 0
## 2 0.0000000 0.5801286 0.2923374 0 0 0.3309884 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 1 1.172534 0 0 0 0 0 0
## 2 0.000000 0 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 1 0 1.501739 0 0 0 0 0
## 2 0 0.000000 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 1 0.0000000 0 0 0 0 0.000000 0
## 2 0.4826812 0 0 0 0 0.464436 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 1 0 0 0 0 0.0000000 0
## 2 0 0 0 0 0.5755626 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 1 0 0.0000000 0 0.0000000 0 0 0
## 2 0 0.5184688 0 0.5837624 0 0 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 1 0 0 0.0000000 0 0 0 0
## 2 0 0 0.5570595 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 1 0 0 0 0.000000 0 0
## 2 0 0 0 0.622911 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi
## 1 0 0 0 0 0 0
## 2 0 0 0 0 0 0
## D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.featur D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker
## 1 0 0 0 0 0 0
## 2 0 0 0 0 0 0
## D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim
## 1 0 0 0 0 0 0
## 2 0 0 0 0 0 0
## D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black
## 1 0 0 0 0 0 0 0
## 2 0 0 0 0 0 0 0
## D.P.white D.P.gold D.P.spacegray
## 1 0 0 0
## 2 0 0 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 158 10158 0 iPad 2#1
## 1196 11196 1 iPad 2#1
## descr.my
## 158 This iPad 2 is used and is in good working order. It has scuffs/ scratches from general use. Note
## 1196 This iPad 2 is used and is in good working order. It has scuffs/ scratches from general use and there
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen
## 158 0 0.6381414 0.3215711 0 0.3753531 0
## 1196 0 0.7090460 0.3573012 0 0.4170590 0
## D.T.great D.T.ipad D.T.work D.T.excel D.T.like D.T.box
## 158 0 0.3517602 0.3746226 0 0 0
## 1196 0 0.3908446 0.4162473 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.mint
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.origin
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will D.T.appl
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 158 0 0 0 0 0.5983265 0
## 1196 0 0 0 0 0.6648072 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 158 0 0 0 0 0 0.6983265
## 1196 0 0 0 0 0 0.7759183
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 158 0 0 0 0 0 0
## 1196 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 158 0 0 0 0 0 0 0
## 1196 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 158 0 0
## 1196 0 0
## [1] "Category: iPad 3+#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 3 10003 1 iPad 3+#0 0 0
## 3.1 10003 1 iPad 3+#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 3 0 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 3 0 0 0 0 0 0
## 3.1 0 0 0 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 3 10003 1 iPad 3+#0 0 0
## 10 10010 1 iPad 3+#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 3 0 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 3 0 0 0 0 0 0 0
## 10 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 3 0 0 0 0 0 0
## 10 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 3 0 0 0 0 0
## 10 0 0 0 0 0
## [1] "Category: iPad 3+#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 11 10011 1 iPad 3+#1
## 37 10037 1 iPad 3+#1
## descr.my
## 11 good condition, minor wear and tear on body some light scratches on screen. functions great.
## 37 Rarely ever used it.
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 11 0.2193351 0.000000 0.2923374 0 0.3412301 0.3309884 0.4008907
## 37 0.0000000 1.063569 0.0000000 0 0.0000000 0.0000000 0.0000000
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 11 0 0 0 0 0 0.410691 0
## 37 0 0 0 0 0 0.000000 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 11 0 0 0.4095653 0 0 0.4288519 0
## 37 0 0 0.0000000 0 0 0.0000000 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 11 0 0 0 0 0 0.4577939 0
## 37 0 0 0 0 0 0.0000000 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 11 0 0 0.5837624 0 0 0 0
## 37 0 0 0.0000000 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 11 0 0 0 0 0 0 0.7459689
## 37 0 0 0 0 0 0 0.0000000
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn D.T.X2016
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor D.T.intro
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti D.T.final
## 11 0 0 0 0 0 0
## 37 0 0 0 0 0 0
## D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white D.P.gold
## 11 0 0 0 0 0 0 0
## 37 0 0 0 0 0 0 0
## D.P.spacegray
## 11 0
## 37 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 17 10017 1 iPad 3+#1
## 146 10146 0 iPad 3+#1
## descr.my
## 17 Great working iPad. Very minor surface scratches on back as pictured. Other very light scratching
## 146 Great working iPad. Minor surface scratches on back as pictured. Other very light scratching which
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 17 0 0 0.6431422 0 0 0 0.4409798
## 146 0 0 0.6431422 0 0 0 0.4409798
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 17 0.3517602 0.3746226 0 0 0 0 0
## 146 0.3517602 0.3746226 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 17 0 0 0.4505218 0 0 0 0
## 146 0 0 0.4505218 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 17 0 0 0 0 0 0.5035733 0
## 146 0 0 0 0 0 0.5035733 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 17 0 0.5108796 0 0 0 0 0
## 146 0 0.5108796 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 17 0 0 0 0 0 0.6331188 0
## 146 0 0 0 0 0 0.6331188 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 17 0 0 0 0 0 0
## 146 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 17 0 0 0 0 0 0 0
## 146 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 17 0 0
## 146 0 0
## [1] "Category: iPadAir#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 16 10016 0 iPadAir#0 0 0
## 16.1 10016 0 iPadAir#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.heavili D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.upper D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker D.T.name
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim
## 16 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0
## D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black
## 16 0 0 0 0 0 0 0
## 16.1 0 0 0 0 0 0 0
## D.P.white D.P.gold D.P.spacegray
## 16 0 0 0
## 16.1 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 16 10016 0 iPadAir#0 0 0
## 19 10019 1 iPadAir#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 16 0 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 16 0 0 0 0 0 0 0
## 19 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 16 0 0 0 0 0 0
## 19 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 16 0 0 0 0 0
## 19 0 0 0 0 0
## [1] "Category: iPadAir#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 30 10030 1 iPadAir#1
## 33 10033 0 iPadAir#1
## descr.my
## 30 Comes with USB Cable and wall adapter. May have minor dings or scuffs.
## 33 We are selling good quality iPads that have been fully tested by an Apple Certified Technician. The
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 30 0 0 0 0 0.000000 0 0
## 33 0 0 0 0 0.417059 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 30 0.0000000 0 0 0 0 0 0
## 33 0.3908446 0 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 30 0.000000 0 0.5005798 0 0 0 0
## 33 0.546239 0 0.0000000 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 30 0 0 0.0000000 0 0 0 0.6215803
## 33 0 0 0.6103266 0 0 0 0.0000000
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 30 0.6648072 0 0 0 0 0
## 33 0.0000000 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 30 0 0 0 0 0.0000000 0 0
## 33 0 0 0 0 0.6851255 0 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 30 0 0 0.6808506 0 0 0 0
## 33 0 0 0.0000000 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 30 0 0 0 0 0 0.7479696 0
## 33 0 0 0 0 0 0.0000000 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 30 0 0 0 0 0 0
## 33 0 0 0 0 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 30 0 0 0.8006286 0 0 0
## 33 0 0 0.0000000 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 30 0 0 0 0 0 0
## 33 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 30 0.0000000 0 0 0 0 0
## 33 0.8948505 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 30 0 0 0 0 0 0
## 33 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 30 0 0 0 0 0 0.0000000
## 33 0 0 0 0 0 0.9767356
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 30 0 0 0 0 0 0.000000
## 33 0 0 0 0 0 1.005962
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn D.T.X2016
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor D.T.intro
## 30 0 0 0 0 0 0
## 33 0 0 0 0 0 0
## D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti D.T.final
## 30 0 0 0 0 0 0
## 33 0 0 0 0 0 0
## D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white D.P.gold
## 30 0 0 0 0 0 0 0
## 33 0 0 0 0 0 0 0
## D.P.spacegray
## 30 0
## 33 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 1322 11323 1 iPadAir#1 Great Condition 1.206343 0
## 2337 12339 <NA> iPadAir#1 great condition 1.206343 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 1322 0 0 0 0 2.204899 0 0
## 2337 0 0 0 0 2.204899 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.heavili D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.upper D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker D.T.name
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim
## 1322 0 0 0 0 0 0
## 2337 0 0 0 0 0 0
## D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black
## 1322 0 0 0 0 0 0 0
## 2337 0 0 0 0 0 0 0
## D.P.white D.P.gold D.P.spacegray
## 1322 0 0 0
## 2337 0 0 0
## [1] "Category: iPadmini 2+#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 4 10004 0 iPadmini 2+#0 0 0
## 4.1 10004 0 iPadmini 2+#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 4 0 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 4 0 0 0 0 0 0
## 4.1 0 0 0 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use D.T.scratch
## 4 10004 0 iPadmini 2+#0 0 0 0
## 6 10006 1 iPadmini 2+#0 0 0 0
## D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.origin
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will D.T.appl
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner D.T.small
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show D.T.shape
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list D.T.may
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal D.T.tab
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo D.T.tear
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.display D.T.minim D.T.wifi D.T.order D.T.protector D.T.kept
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.right D.T.previous D.T.button D.T.alway D.T.contact D.T.fair D.T.air
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal
## 4 0 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0 0
## D.T.profession D.T.overal D.T.retail D.T.refer D.T.left D.T.stock
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.manufactur D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek D.T.squad
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must D.T.contain
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.technician D.T.super D.T.expect D.T.sync D.T.speaker D.T.name
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 4 0 0 0 0 0 0
## 6 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 4 0 0 0 0 0 0 0
## 6 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 4 0 0
## 6 0 0
## [1] "Category: iPadmini 2+#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 18 10018 0 iPadmini 2+#1
## 101 10101 1 iPadmini 2+#1
## descr.my
## 18 We are selling good quality iPads that have been fully tested by an Apple Certified Technician. The
## 101 This item is in Excellent cosmetic condition. It will not have any scratches on the screen. It may
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 18 0.0000000 0 0.0000000 0 0.417059 0.0000000 0
## 101 0.3015858 0 0.4019639 0 0.000000 0.4551091 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 18 0.3908446 0 0.0000000 0 0 0 0.0000000
## 101 0.0000000 0 0.5914658 0 0 0 0.5455444
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 18 0.546239 0.0000000 0 0 0 0 0
## 101 0.000000 0.5631522 0 0 0 0 0
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 18 0 0.0000000 0.6103266 0 0 0 0
## 101 0 0.7612725 0.0000000 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 18 0 0 0 0 0.6851255 0
## 101 0 0 0 0 0.0000000 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 18 0 0 0 0.0000000 0 0 0
## 101 0 0 0 0.7659569 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 18 0.8948505 0 0 0 0 0
## 101 0.0000000 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 18 0 0 0 0 0 0.9767356
## 101 0 0 0 0 0 0.0000000
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 18 0 0 0 0 0 1.005962
## 101 0 0 0 0 0 0.000000
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 18 0 0 0 0 0 0
## 101 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 18 0 0 0 0 0 0 0
## 101 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 18 0 0
## 101 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my
## 2152 12154 <NA> iPadmini 2+#1 Only Opened box but is new
## 2443 12445 <NA> iPadmini 2+#1 New Opened Box powered up only.
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 2152 0 0 0 1.363393 0 0 0
## 2443 0 0 0 1.022545 0 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 2152 0 0 0 0 1.531408 0 0
## 2443 0 0 0 0 1.148556 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.devic D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.open D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100
## 2152 1.972050 0 0 0 0 0 0
## 2443 1.479038 0 0 0 0 0 0
## D.T.come D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.unit D.T.refurbish D.T.show D.T.shape D.T.read D.T.test
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.pictur D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.packag D.T.mini D.T.affect D.T.normal D.T.tab D.T.top
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo D.T.tear
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.display D.T.minim D.T.wifi D.T.order D.T.protector D.T.kept
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.right D.T.previous D.T.button D.T.alway D.T.contact D.T.fair
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 2152 0 0 0 0 0 0 0
## 2443 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 2152 0 0 0 0 0 0
## 2443 0 0 0 0 0 0
## [1] "Category: iPadmini#0"
## [1] "max distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 7 10007 1 iPadmini#0 0 0
## 7.1 10007 1 iPadmini#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.geek D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.must D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 7 0 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.els D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.T.defens D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## D.P.mini D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 7 0 0 0 0 0 0
## 7.1 0 0 0 0 0 0
## [1] "min distance(0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr descr.my D.T.condit D.T.use
## 7 10007 1 iPadmini#0 0 0
## 57 10057 0 iPadmini#0 0 0
## D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad D.T.work
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.excel D.T.like D.T.box D.T.function. D.T.item D.T.fulli D.T.cosmet
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect D.T.includ D.T.lock
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas D.T.back
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.origin D.T.dent D.T.hous D.T.sign D.T.open D.T.clean D.T.will
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come D.T.scuff D.T.corner
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.small D.T.broken D.T.descript D.T.unit D.T.refurbish D.T.show
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.shape D.T.read D.T.test D.T.pictur D.T.bare D.T.brand D.T.list
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini D.T.affect D.T.normal
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.tab D.T.top D.T.accessori D.T.ding D.T.near D.T.digit D.T.photo
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.tear D.T.display D.T.minim D.T.wifi D.T.order D.T.protector
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.kept D.T.right D.T.previous D.T.button D.T.alway D.T.contact
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free D.T.sinc D.T.imei
## 7 0 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0 0
## D.T.cabl D.T.seal D.T.profession D.T.overal D.T.retail D.T.refer
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.left D.T.stock D.T.two D.T.detail D.T.bodi D.T.seller D.T.activ
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.phone D.T.problem D.T.manufactur D.T.side D.T.certifi D.T.ship
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.chip D.T.edg D.T.inspect D.T.heavili D.T.keyboard D.T.non D.T.geek
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.squad D.T.handset D.T.upper D.T.sticker D.T.scroll D.T.must
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.contain D.T.imag D.T.qualiti D.T.anoth D.T.pic D.T.least
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.correct D.T.featur D.T.technician D.T.super D.T.expect D.T.sync
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.speaker D.T.name D.T.lightn D.T.X2016 D.T.passcod D.T.money D.T.els
## 7 0 0 0 0 0 0 0
## 57 0 0 0 0 0 0 0
## D.T.stylus D.T.corpor D.T.intro D.T.higher D.T.beetl D.T.defens
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.T.disclaim D.T.essenti D.T.final D.T.repeat. D.P.http D.P.mini
## 7 0 0 0 0 0 0
## 57 0 0 0 0 0 0
## D.P.air D.P.black D.P.white D.P.gold D.P.spacegray
## 7 0 0 0 0 0
## 57 0 0 0 0 0
## [1] "Category: iPadmini#1"
## [1] "max distance(1.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 60 10060 0 iPadmini#1
## 76 10076 1 iPadmini#1
## descr.my
## 60 Minor scuffs in the back. Otherwise looks flawless. See all pictures.
## 76 Works perfectly, NOT iCloud locked, 1 owner. It is in not in very good condition, but works
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 60 0.0000000 0 0 0 0.0000000 0 0
## 76 0.3015858 0 0 0 0.4691913 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 60 0 0.0000000 0 0 0 0 0
## 76 0 0.9365565 0 0 0 0 0
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear D.T.perfect
## 60 0 0 0.5631522 0 0 0 0.0000000
## 76 0 0 0.0000000 0 0 0 0.6992778
## D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic
## 60 0 0.0000000 0 0.0000000 0.7059578 0 0
## 76 0 0.7436647 0 0.6960284 0.0000000 0 0
## D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign D.T.open
## 60 0 0.6385995 0 0 0 0 0
## 76 0 0.0000000 0 0 0 0 0
## D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100 D.T.come
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript D.T.unit
## 60 0.7479081 0 0 0 0 0
## 76 0.0000000 0 0 0 0 0
## D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur D.T.bare
## 60 0 0 0 0 0 0.7913985 0
## 76 0 0 0 0 0 0.0000000 0
## D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag D.T.mini
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding D.T.near
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi D.T.order
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.protector D.T.kept D.T.right D.T.previous D.T.button D.T.alway
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag D.T.free
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession D.T.overal
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail D.T.bodi
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur D.T.side
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn D.T.X2016
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor D.T.intro
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti D.T.final
## 60 0 0 0 0 0 0
## 76 0 0 0 0 0 0
## D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white D.P.gold
## 60 0 0 0 0 0 0 0
## 76 0 0 0 0 0 0 0
## D.P.spacegray
## 60 0
## 76 0
## [1] "min distance(-0.0000) pair:"
## UniqueID sold prdl.my.descr.fctr
## 335 10335 0 iPadmini#1
## 663 10663 0 iPadmini#1
## descr.my
## 335 This item is used but well taken care of no cosmetic wears at all . Any other questions feel free to
## 663 This item is used but well taken care of no cosmetic wears at all . Any other questions feel free to
## D.T.condit D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great
## 335 0 0.3190707 0 0 0 0 0
## 663 0 0.3190707 0 0 0 0 0
## D.T.ipad D.T.work D.T.excel D.T.like D.T.box D.T.function. D.T.item
## 335 0 0 0 0 0 0 0.4364355
## 663 0 0 0 0 0 0 0.4364355
## D.T.fulli D.T.cosmet D.T.minor D.T.mint D.T.crack D.T.wear
## 335 0 0.4505218 0 0 0 0.4717371
## 663 0 0.4505218 0 0 0 0.4717371
## D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see D.T.light
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.devic D.T.pleas D.T.back D.T.origin D.T.dent D.T.hous D.T.sign
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.open D.T.clean D.T.will D.T.appl D.T.charger D.T.damag D.T.X100
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.come D.T.scuff D.T.corner D.T.small D.T.broken D.T.descript
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.unit D.T.refurbish D.T.show D.T.shape D.T.read D.T.test D.T.pictur
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.bare D.T.brand D.T.list D.T.may D.T.mark D.T.blemish D.T.packag
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.mini D.T.affect D.T.normal D.T.tab D.T.top D.T.accessori D.T.ding
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.near D.T.digit D.T.photo D.T.tear D.T.display D.T.minim D.T.wifi
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.order D.T.protector D.T.kept D.T.right D.T.previous D.T.button
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.alway D.T.contact D.T.fair D.T.air D.T.esn D.T.full D.T.averag
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.free D.T.sinc D.T.imei D.T.cabl D.T.seal D.T.profession
## 335 0.7127655 0 0 0 0 0
## 663 0.7127655 0 0 0 0 0
## D.T.overal D.T.retail D.T.refer D.T.left D.T.stock D.T.two D.T.detail
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.bodi D.T.seller D.T.activ D.T.phone D.T.problem D.T.manufactur
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.side D.T.certifi D.T.ship D.T.chip D.T.edg D.T.inspect D.T.heavili
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.T.keyboard D.T.non D.T.geek D.T.squad D.T.handset D.T.upper
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.sticker D.T.scroll D.T.must D.T.contain D.T.imag D.T.qualiti
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.anoth D.T.pic D.T.least D.T.correct D.T.featur D.T.technician
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.super D.T.expect D.T.sync D.T.speaker D.T.name D.T.lightn
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.X2016 D.T.passcod D.T.money D.T.els D.T.stylus D.T.corpor
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.intro D.T.higher D.T.beetl D.T.defens D.T.disclaim D.T.essenti
## 335 0 0 0 0 0 0
## 663 0 0 0 0 0 0
## D.T.final D.T.repeat. D.P.http D.P.mini D.P.air D.P.black D.P.white
## 335 0 0 0 0 0 0 0
## 663 0 0 0 0 0 0 0
## D.P.gold D.P.spacegray
## 335 0 0
## 663 0 0
## [1] "glb_allobs_df$prdl.my.descr.fctr$.clusterid Entropy: 0.6570 (96.9282 pct)"
## prdl.my.descr.fctr.clusterid 0 1 .entropy .knt
## 1 Unknown#0_1 72 47 0.6709143 119
## 2 Unknown#1_1 25 13 0.6424220 38
## 3 Unknown#1_2 17 9 0.6450332 26
## 4 Unknown#1_3 4 5 0.6869616 9
## 5 Unknown#1_4 0 6 0.0000000 6
## 6 iPad 1#0_1 53 69 0.6845225 122
## 7 iPad 1#1_1 12 18 0.6730117 30
## 8 iPad 1#1_2 13 16 0.6877868 29
## 9 iPad 1#1_3 12 7 0.6581100 19
## 10 iPad 1#1_4 8 7 0.6909233 15
## 11 iPad 1#1_5 2 8 0.5004024 10
## 12 iPad 2#0_1 57 80 0.6789878 137
## 13 iPad 2#1_1 31 24 0.6850260 55
## 14 iPad 2#1_2 10 14 0.6791933 24
## 15 iPad 2#1_3 19 5 0.5117401 24
## 16 iPad 2#1_4 9 11 0.6881388 20
## 17 iPad 2#1_5 8 8 0.6931472 16
## 18 iPad 2#1_6 7 5 0.6791933 12
## 19 iPad 3+#0_1 58 87 0.6730117 145
## 20 iPad 3+#1_1 26 20 0.6846163 46
## 21 iPad 3+#1_2 25 14 0.6528258 39
## 22 iPad 3+#1_3 14 6 0.6108643 20
## 23 iPad 3+#1_4 16 2 0.3488321 18
## 24 iPad 3+#1_5 9 11 0.6881388 20
## 25 iPad 3+#1_6 5 5 0.6931472 10
## 26 iPad 3+#1_7 13 0 0.0000000 13
## 27 iPadAir#0_1 125 95 0.6838206 220
## 28 iPadAir#1_1 30 25 0.6890092 55
## 29 iPadAir#1_2 19 18 0.6927819 37
## 30 iPadAir#1_3 13 6 0.6236548 19
## 31 iPadAir#1_4 13 4 0.5455946 17
## 32 iPadAir#1_5 3 2 0.6730117 5
## 33 iPadmini 2+#0_1 95 59 0.6655694 154
## 34 iPadmini 2+#1_1 12 8 0.6730117 20
## 35 iPadmini 2+#1_2 7 12 0.6581100 19
## 36 iPadmini 2+#1_3 5 1 0.4505612 6
## 37 iPadmini 2+#1_4 6 0 0.0000000 6
## 38 iPadmini#0_1 94 79 0.6893836 173
## 39 iPadmini#1_1 13 9 0.6765260 22
## 40 iPadmini#1_2 13 7 0.6474466 20
## 41 iPadmini#1_3 8 7 0.6909233 15
## 42 iPadmini#1_4 2 11 0.4293230 13
## 43 iPadmini#1_5 5 8 0.6662784 13
## 44 iPadmini#1_6 6 9 0.6730117 15
## 45 iPadmini#1_7 5 3 0.6615632 8# Last call for data modifications
#stop(here") # sav_allobs_df <- glb_allobs_df
# glb_allobs_df[(glb_allobs_df$PropR == 0.75) & (glb_allobs_df$State == "Hawaii"), "PropR.fctr"] <- "N"
# Re-partition
glb_trnobs_df <- subset(glb_allobs_df, .src == "Train")
glb_newobs_df <- subset(glb_allobs_df, .src == "Test")
glb_chunks_df <- myadd_chunk(glb_chunks_df, "select.features", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 7 manage.missing.data 4 1 54.051 59.751 5.7
## 8 select.features 5 0 59.751 NA NAStep 5.0: select features
#stop(here"); sav_allobs_df <- glb_allobs_df; glb_allobs_df <- sav_allobs_df
print(glb_feats_df <- myselect_features(entity_df=glb_trnobs_df,
exclude_vars_as_features=glb_exclude_vars_as_features,
rsp_var=glb_rsp_var))## Warning in cor(data.matrix(entity_df[, sel_feats]), y =
## as.numeric(entity_df[, : the standard deviation is zero## id cor.y
## startprice.log startprice.log 7.149535e-01
## biddable biddable -4.789687e-01
## prdline.my.fctr prdline.my.fctr 2.915828e-01
## prdl.my.descr.fctr prdl.my.descr.fctr 2.119431e-01
## condition.fctr condition.fctr 2.059509e-01
## D.ratio.sum.TfIdf.nwrds D.ratio.sum.TfIdf.nwrds -1.371940e-01
## D.TfIdf.sum.post.stop D.TfIdf.sum.post.stop -1.329670e-01
## D.ratio.nstopwrds.nwrds D.ratio.nstopwrds.nwrds 1.320185e-01
## D.npnct24.log D.npnct24.log -1.307803e-01
## D.T.function. D.T.function. -1.299818e-01
## D.TfIdf.sum.post.stem D.TfIdf.sum.post.stem -1.293971e-01
## D.sum.TfIdf D.sum.TfIdf -1.293971e-01
## D.TfIdf.sum.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio 1.274926e-01
## D.nuppr.log D.nuppr.log -1.175170e-01
## D.nchrs.log D.nchrs.log -1.168104e-01
## D.T.fulli D.T.fulli -1.118262e-01
## D.terms.n.post.stem.log D.terms.n.post.stem.log -1.110693e-01
## D.nwrds.unq.log D.nwrds.unq.log -1.110693e-01
## D.terms.n.post.stop.log D.terms.n.post.stop.log -1.106787e-01
## color.fctr color.fctr 1.065848e-01
## D.T.contact D.T.contact -1.043433e-01
## D.nwrds.log D.nwrds.log -1.025624e-01
## .clusterid .clusterid -9.430216e-02
## .clusterid.fctr .clusterid.fctr -9.430216e-02
## D.terms.n.post.stem D.terms.n.post.stem -9.253471e-02
## D.terms.n.post.stop D.terms.n.post.stop -9.205229e-02
## D.T.screen D.T.screen -9.059270e-02
## D.T.bare D.T.bare 8.814649e-02
## D.npnct13.log D.npnct13.log -8.305756e-02
## D.T.descript D.T.descript -8.241350e-02
## D.T.non D.T.non -8.091620e-02
## D.T.handset D.T.handset -8.087908e-02
## D.npnct11.log D.npnct11.log -8.010689e-02
## D.T.refer D.T.refer -7.982025e-02
## D.nstopwrds.log D.nstopwrds.log -7.300093e-02
## D.T.includ D.T.includ -7.222190e-02
## carrier.fctr carrier.fctr 6.843649e-02
## D.T.work D.T.work -6.814552e-02
## D.T.crack D.T.crack -6.585419e-02
## D.T.pleas D.T.pleas -6.503361e-02
## D.T.charger D.T.charger -6.389826e-02
## D.T.digit D.T.digit -6.365852e-02
## D.T.show D.T.show -6.307305e-02
## D.T.appl D.T.appl 5.948707e-02
## D.T.icloud D.T.icloud -5.882178e-02
## D.T.two D.T.two 5.880736e-02
## D.T.unit D.T.unit -5.758012e-02
## D.T.retail D.T.retail -5.703044e-02
## D.T.lock D.T.lock -5.698040e-02
## D.T.protector D.T.protector 5.627020e-02
## D.T.clean D.T.clean -5.560772e-02
## D.npnct03.log D.npnct03.log -5.404400e-02
## D.T.good D.T.good -5.339406e-02
## D.T.great D.T.great -5.251571e-02
## D.T.small D.T.small -5.175750e-02
## D.npnct06.log D.npnct06.log -4.854092e-02
## D.T.problem D.T.problem -4.811488e-02
## D.T.least D.T.least -4.811488e-02
## D.T.ipad D.T.ipad -4.789440e-02
## D.T.dent D.T.dent -4.787777e-02
## D.T.box D.T.box -4.751438e-02
## D.T.pictur D.T.pictur -4.740846e-02
## D.T.corpor D.T.corpor -4.694764e-02
## D.T.broken D.T.broken -4.627157e-02
## D.T.geek D.T.geek -4.611729e-02
## D.T.squad D.T.squad -4.611729e-02
## D.T.manufactur D.T.manufactur -4.598249e-02
## .rnorm .rnorm 4.492325e-02
## D.T.see D.T.see -4.476209e-02
## D.T.imag D.T.imag -4.419077e-02
## D.npnct12.log D.npnct12.log -4.255440e-02
## D.T.affect D.T.affect -4.106701e-02
## D.T.top D.T.top -4.069093e-02
## D.T.imei D.T.imei -4.051507e-02
## D.T.will D.T.will 3.987322e-02
## D.T.may D.T.may 3.980125e-02
## storage.fctr storage.fctr 3.966527e-02
## D.T.near D.T.near -3.958278e-02
## D.T.accessori D.T.accessori -3.942989e-02
## D.T.scroll D.T.scroll -3.677278e-02
## D.T.light D.T.light 3.644202e-02
## D.npnct16.log D.npnct16.log -3.550477e-02
## D.T.cabl D.T.cabl 3.534438e-02
## D.P.black D.P.black 3.522629e-02
## D.T.corner D.T.corner -3.469552e-02
## D.npnct10.log D.npnct10.log 3.409165e-02
## D.T.full D.T.full -3.309088e-02
## D.T.seller D.T.seller -3.292251e-02
## D.T.activ D.T.activ -3.292251e-02
## D.T.certifi D.T.certifi -3.292251e-02
## D.T.upper D.T.upper -3.292251e-02
## D.T.X2016 D.T.X2016 -3.292251e-02
## D.T.essenti D.T.essenti -3.292251e-02
## D.npnct07.log D.npnct07.log -3.292251e-02
## D.T.ship D.T.ship 3.191119e-02
## D.T.stylus D.T.stylus 3.191119e-02
## D.T.lightn D.T.lightn 3.190598e-02
## D.T.test D.T.test -3.145019e-02
## D.T.shape D.T.shape -3.091532e-02
## D.T.mini D.T.mini -2.948183e-02
## D.T.ding D.T.ding -2.917892e-02
## D.T.perfect D.T.perfect 2.733839e-02
## D.T.damag D.T.damag -2.688924e-02
## D.P.spacegray D.P.spacegray -2.668782e-02
## D.T.scuff D.T.scuff -2.654868e-02
## D.P.air D.P.air -2.598230e-02
## D.npnct01.log D.npnct01.log -2.499277e-02
## D.T.left D.T.left -2.497617e-02
## D.T.read D.T.read -2.469470e-02
## D.T.refurbish D.T.refurbish -2.465350e-02
## D.T.previous D.T.previous -2.391757e-02
## D.T.free D.T.free 2.376422e-02
## D.npnct14.log D.npnct14.log 2.360459e-02
## D.T.alway D.T.alway 2.354696e-02
## D.npnct15.log D.npnct15.log -2.318775e-02
## D.T.wifi D.T.wifi 2.312108e-02
## D.T.minor D.T.minor -2.276947e-02
## D.T.air D.T.air -2.263112e-02
## D.T.bodi D.T.bodi -2.216204e-02
## D.T.button D.T.button -2.186179e-02
## D.T.tear D.T.tear 2.122350e-02
## D.T.item D.T.item -2.107927e-02
## D.T.blemish D.T.blemish 2.093280e-02
## D.T.speaker D.T.speaker -2.016198e-02
## D.T.case D.T.case 1.964704e-02
## D.T.name D.T.name 1.959100e-02
## D.P.white D.P.white -1.934418e-02
## D.T.seal D.T.seal -1.922218e-02
## D.T.sign D.T.sign -1.907998e-02
## D.T.els D.T.els -1.868831e-02
## D.T.disclaim D.T.disclaim -1.868831e-02
## D.T.repeat. D.T.repeat. -1.755832e-02
## D.P.mini D.P.mini -1.749374e-02
## D.T.brand D.T.brand 1.744254e-02
## D.T.normal D.T.normal 1.691721e-02
## D.T.keyboard D.T.keyboard 1.643556e-02
## D.T.wear D.T.wear 1.598484e-02
## D.T.sinc D.T.sinc 1.592763e-02
## D.T.origin D.T.origin 1.556346e-02
## D.npnct05.log D.npnct05.log -1.509746e-02
## D.T.esn D.T.esn -1.489998e-02
## D.T.photo D.T.photo 1.483104e-02
## D.T.new D.T.new 1.481647e-02
## D.npnct08.log D.npnct08.log -1.418382e-02
## D.T.cosmet D.T.cosmet 1.381043e-02
## D.T.list D.T.list 1.283101e-02
## D.T.qualiti D.T.qualiti -1.261137e-02
## D.T.X100 D.T.X100 -1.259918e-02
## D.T.kept D.T.kept -1.237040e-02
## D.T.detail D.T.detail -1.235100e-02
## D.T.anoth D.T.anoth 1.199522e-02
## D.T.tab D.T.tab 1.186302e-02
## D.T.excel D.T.excel -1.142396e-02
## D.T.mint D.T.mint 1.134368e-02
## D.T.come D.T.come -1.082433e-02
## D.T.open D.T.open 1.004085e-02
## D.T.hous D.T.hous 9.945381e-03
## UniqueID UniqueID -9.667837e-03
## idseq.my idseq.my -9.667837e-03
## D.T.packag D.T.packag -9.230147e-03
## D.T.edg D.T.edg -8.476227e-03
## D.T.right D.T.right -7.922653e-03
## D.ndgts.log D.ndgts.log -7.780470e-03
## D.T.minim D.T.minim 7.674282e-03
## D.T.like D.T.like 7.149343e-03
## D.T.super D.T.super -7.146292e-03
## D.T.must D.T.must -6.646880e-03
## cellular.fctr cellular.fctr 6.550796e-03
## D.T.scratch D.T.scratch 6.351262e-03
## D.T.side D.T.side 6.051838e-03
## D.terms.n.stem.stop.Ratio D.terms.n.stem.stop.Ratio 5.485185e-03
## D.T.chip D.T.chip -5.302309e-03
## D.T.use D.T.use 3.835729e-03
## D.T.mark D.T.mark -3.413061e-03
## D.T.heavili D.T.heavili -3.238200e-03
## D.T.sticker D.T.sticker -2.522893e-03
## D.T.condit D.T.condit -2.233209e-03
## D.T.display D.T.display -2.175503e-03
## D.T.devic D.T.devic 6.208967e-04
## D.T.overal D.T.overal 1.465557e-04
## D.T.order D.T.order 1.463177e-04
## D.T.back D.T.back 8.091362e-05
## sold sold NA
## D.T.fair D.T.fair NA
## D.T.averag D.T.averag NA
## D.T.profession D.T.profession NA
## D.T.stock D.T.stock NA
## D.T.phone D.T.phone NA
## D.T.inspect D.T.inspect NA
## D.T.contain D.T.contain NA
## D.T.pic D.T.pic NA
## D.T.correct D.T.correct NA
## D.T.featur D.T.featur NA
## D.T.technician D.T.technician NA
## D.T.expect D.T.expect NA
## D.T.sync D.T.sync NA
## D.T.passcod D.T.passcod NA
## D.T.money D.T.money NA
## D.T.intro D.T.intro NA
## D.T.higher D.T.higher NA
## D.T.beetl D.T.beetl NA
## D.T.defens D.T.defens NA
## D.T.final D.T.final NA
## D.npnct02.log D.npnct02.log NA
## D.npnct04.log D.npnct04.log NA
## D.npnct09.log D.npnct09.log NA
## D.npnct17.log D.npnct17.log NA
## D.npnct18.log D.npnct18.log NA
## D.npnct19.log D.npnct19.log NA
## D.npnct20.log D.npnct20.log NA
## D.npnct21.log D.npnct21.log NA
## D.npnct22.log D.npnct22.log NA
## D.npnct23.log D.npnct23.log NA
## D.npnct25.log D.npnct25.log NA
## D.npnct26.log D.npnct26.log NA
## D.npnct27.log D.npnct27.log NA
## D.npnct28.log D.npnct28.log NA
## D.npnct29.log D.npnct29.log NA
## D.npnct30.log D.npnct30.log NA
## D.P.http D.P.http NA
## D.P.gold D.P.gold NA
## exclude.as.feat cor.y.abs
## startprice.log 1 7.149535e-01
## biddable 0 4.789687e-01
## prdline.my.fctr 1 2.915828e-01
## prdl.my.descr.fctr 0 2.119431e-01
## condition.fctr 0 2.059509e-01
## D.ratio.sum.TfIdf.nwrds 0 1.371940e-01
## D.TfIdf.sum.post.stop 0 1.329670e-01
## D.ratio.nstopwrds.nwrds 0 1.320185e-01
## D.npnct24.log 0 1.307803e-01
## D.T.function. 1 1.299818e-01
## D.TfIdf.sum.post.stem 0 1.293971e-01
## D.sum.TfIdf 0 1.293971e-01
## D.TfIdf.sum.stem.stop.Ratio 0 1.274926e-01
## D.nuppr.log 0 1.175170e-01
## D.nchrs.log 0 1.168104e-01
## D.T.fulli 1 1.118262e-01
## D.terms.n.post.stem.log 0 1.110693e-01
## D.nwrds.unq.log 0 1.110693e-01
## D.terms.n.post.stop.log 0 1.106787e-01
## color.fctr 0 1.065848e-01
## D.T.contact 1 1.043433e-01
## D.nwrds.log 0 1.025624e-01
## .clusterid 1 9.430216e-02
## .clusterid.fctr 0 9.430216e-02
## D.terms.n.post.stem 0 9.253471e-02
## D.terms.n.post.stop 0 9.205229e-02
## D.T.screen 1 9.059270e-02
## D.T.bare 1 8.814649e-02
## D.npnct13.log 0 8.305756e-02
## D.T.descript 1 8.241350e-02
## D.T.non 1 8.091620e-02
## D.T.handset 1 8.087908e-02
## D.npnct11.log 0 8.010689e-02
## D.T.refer 1 7.982025e-02
## D.nstopwrds.log 0 7.300093e-02
## D.T.includ 1 7.222190e-02
## carrier.fctr 0 6.843649e-02
## D.T.work 1 6.814552e-02
## D.T.crack 1 6.585419e-02
## D.T.pleas 1 6.503361e-02
## D.T.charger 1 6.389826e-02
## D.T.digit 1 6.365852e-02
## D.T.show 1 6.307305e-02
## D.T.appl 1 5.948707e-02
## D.T.icloud 1 5.882178e-02
## D.T.two 1 5.880736e-02
## D.T.unit 1 5.758012e-02
## D.T.retail 1 5.703044e-02
## D.T.lock 1 5.698040e-02
## D.T.protector 1 5.627020e-02
## D.T.clean 1 5.560772e-02
## D.npnct03.log 0 5.404400e-02
## D.T.good 1 5.339406e-02
## D.T.great 1 5.251571e-02
## D.T.small 1 5.175750e-02
## D.npnct06.log 0 4.854092e-02
## D.T.problem 1 4.811488e-02
## D.T.least 1 4.811488e-02
## D.T.ipad 1 4.789440e-02
## D.T.dent 1 4.787777e-02
## D.T.box 1 4.751438e-02
## D.T.pictur 1 4.740846e-02
## D.T.corpor 1 4.694764e-02
## D.T.broken 1 4.627157e-02
## D.T.geek 1 4.611729e-02
## D.T.squad 1 4.611729e-02
## D.T.manufactur 1 4.598249e-02
## .rnorm 0 4.492325e-02
## D.T.see 1 4.476209e-02
## D.T.imag 1 4.419077e-02
## D.npnct12.log 0 4.255440e-02
## D.T.affect 1 4.106701e-02
## D.T.top 1 4.069093e-02
## D.T.imei 1 4.051507e-02
## D.T.will 1 3.987322e-02
## D.T.may 1 3.980125e-02
## storage.fctr 0 3.966527e-02
## D.T.near 1 3.958278e-02
## D.T.accessori 1 3.942989e-02
## D.T.scroll 1 3.677278e-02
## D.T.light 1 3.644202e-02
## D.npnct16.log 0 3.550477e-02
## D.T.cabl 1 3.534438e-02
## D.P.black 1 3.522629e-02
## D.T.corner 1 3.469552e-02
## D.npnct10.log 0 3.409165e-02
## D.T.full 1 3.309088e-02
## D.T.seller 1 3.292251e-02
## D.T.activ 1 3.292251e-02
## D.T.certifi 1 3.292251e-02
## D.T.upper 1 3.292251e-02
## D.T.X2016 1 3.292251e-02
## D.T.essenti 1 3.292251e-02
## D.npnct07.log 0 3.292251e-02
## D.T.ship 1 3.191119e-02
## D.T.stylus 1 3.191119e-02
## D.T.lightn 1 3.190598e-02
## D.T.test 1 3.145019e-02
## D.T.shape 1 3.091532e-02
## D.T.mini 1 2.948183e-02
## D.T.ding 1 2.917892e-02
## D.T.perfect 1 2.733839e-02
## D.T.damag 1 2.688924e-02
## D.P.spacegray 1 2.668782e-02
## D.T.scuff 1 2.654868e-02
## D.P.air 1 2.598230e-02
## D.npnct01.log 0 2.499277e-02
## D.T.left 1 2.497617e-02
## D.T.read 1 2.469470e-02
## D.T.refurbish 1 2.465350e-02
## D.T.previous 1 2.391757e-02
## D.T.free 1 2.376422e-02
## D.npnct14.log 0 2.360459e-02
## D.T.alway 1 2.354696e-02
## D.npnct15.log 0 2.318775e-02
## D.T.wifi 1 2.312108e-02
## D.T.minor 1 2.276947e-02
## D.T.air 1 2.263112e-02
## D.T.bodi 1 2.216204e-02
## D.T.button 1 2.186179e-02
## D.T.tear 1 2.122350e-02
## D.T.item 1 2.107927e-02
## D.T.blemish 1 2.093280e-02
## D.T.speaker 1 2.016198e-02
## D.T.case 1 1.964704e-02
## D.T.name 1 1.959100e-02
## D.P.white 1 1.934418e-02
## D.T.seal 1 1.922218e-02
## D.T.sign 1 1.907998e-02
## D.T.els 1 1.868831e-02
## D.T.disclaim 1 1.868831e-02
## D.T.repeat. 1 1.755832e-02
## D.P.mini 1 1.749374e-02
## D.T.brand 1 1.744254e-02
## D.T.normal 1 1.691721e-02
## D.T.keyboard 1 1.643556e-02
## D.T.wear 1 1.598484e-02
## D.T.sinc 1 1.592763e-02
## D.T.origin 1 1.556346e-02
## D.npnct05.log 0 1.509746e-02
## D.T.esn 1 1.489998e-02
## D.T.photo 1 1.483104e-02
## D.T.new 1 1.481647e-02
## D.npnct08.log 0 1.418382e-02
## D.T.cosmet 1 1.381043e-02
## D.T.list 1 1.283101e-02
## D.T.qualiti 1 1.261137e-02
## D.T.X100 1 1.259918e-02
## D.T.kept 1 1.237040e-02
## D.T.detail 1 1.235100e-02
## D.T.anoth 1 1.199522e-02
## D.T.tab 1 1.186302e-02
## D.T.excel 1 1.142396e-02
## D.T.mint 1 1.134368e-02
## D.T.come 1 1.082433e-02
## D.T.open 1 1.004085e-02
## D.T.hous 1 9.945381e-03
## UniqueID 1 9.667837e-03
## idseq.my 0 9.667837e-03
## D.T.packag 1 9.230147e-03
## D.T.edg 1 8.476227e-03
## D.T.right 1 7.922653e-03
## D.ndgts.log 0 7.780470e-03
## D.T.minim 1 7.674282e-03
## D.T.like 1 7.149343e-03
## D.T.super 1 7.146292e-03
## D.T.must 1 6.646880e-03
## cellular.fctr 0 6.550796e-03
## D.T.scratch 1 6.351262e-03
## D.T.side 1 6.051838e-03
## D.terms.n.stem.stop.Ratio 0 5.485185e-03
## D.T.chip 1 5.302309e-03
## D.T.use 1 3.835729e-03
## D.T.mark 1 3.413061e-03
## D.T.heavili 1 3.238200e-03
## D.T.sticker 1 2.522893e-03
## D.T.condit 1 2.233209e-03
## D.T.display 1 2.175503e-03
## D.T.devic 1 6.208967e-04
## D.T.overal 1 1.465557e-04
## D.T.order 1 1.463177e-04
## D.T.back 1 8.091362e-05
## sold 1 NA
## D.T.fair 1 NA
## D.T.averag 1 NA
## D.T.profession 1 NA
## D.T.stock 1 NA
## D.T.phone 1 NA
## D.T.inspect 1 NA
## D.T.contain 1 NA
## D.T.pic 1 NA
## D.T.correct 1 NA
## D.T.featur 1 NA
## D.T.technician 1 NA
## D.T.expect 1 NA
## D.T.sync 1 NA
## D.T.passcod 1 NA
## D.T.money 1 NA
## D.T.intro 1 NA
## D.T.higher 1 NA
## D.T.beetl 1 NA
## D.T.defens 1 NA
## D.T.final 1 NA
## D.npnct02.log 0 NA
## D.npnct04.log 0 NA
## D.npnct09.log 0 NA
## D.npnct17.log 0 NA
## D.npnct18.log 0 NA
## D.npnct19.log 0 NA
## D.npnct20.log 0 NA
## D.npnct21.log 0 NA
## D.npnct22.log 0 NA
## D.npnct23.log 0 NA
## D.npnct25.log 0 NA
## D.npnct26.log 0 NA
## D.npnct27.log 0 NA
## D.npnct28.log 0 NA
## D.npnct29.log 0 NA
## D.npnct30.log 0 NA
## D.P.http 1 NA
## D.P.gold 1 NA# sav_feats_df <- glb_feats_df; glb_feats_df <- sav_feats_df
print(glb_feats_df <- orderBy(~-cor.y,
myfind_cor_features(feats_df=glb_feats_df, obs_df=glb_trnobs_df,
rsp_var=glb_rsp_var)))## [1] "cor(D.TfIdf.sum.post.stem, D.sum.TfIdf)=1.0000"
## [1] "cor(startprice, D.TfIdf.sum.post.stem)=-0.1294"
## [1] "cor(startprice, D.sum.TfIdf)=-0.1294"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.sum.TfIdf as highly correlated with
## D.TfIdf.sum.post.stem## [1] "cor(D.nwrds.unq.log, D.terms.n.post.stem.log)=1.0000"
## [1] "cor(startprice, D.nwrds.unq.log)=-0.1111"
## [1] "cor(startprice, D.terms.n.post.stem.log)=-0.1111"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.terms.n.post.stem.log as highly correlated
## with D.nwrds.unq.log## [1] "cor(D.nwrds.unq.log, D.terms.n.post.stop.log)=0.9999"
## [1] "cor(startprice, D.nwrds.unq.log)=-0.1111"
## [1] "cor(startprice, D.terms.n.post.stop.log)=-0.1107"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.terms.n.post.stop.log as highly correlated
## with D.nwrds.unq.log## [1] "cor(D.nchrs.log, D.nuppr.log)=0.9998"
## [1] "cor(startprice, D.nchrs.log)=-0.1168"
## [1] "cor(startprice, D.nuppr.log)=-0.1175"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.nchrs.log as highly correlated with
## D.nuppr.log## [1] "cor(D.terms.n.post.stem, D.terms.n.post.stop)=0.9991"
## [1] "cor(startprice, D.terms.n.post.stem)=-0.0925"
## [1] "cor(startprice, D.terms.n.post.stop)=-0.0921"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.terms.n.post.stop as highly correlated with
## D.terms.n.post.stem## [1] "cor(D.TfIdf.sum.post.stem, D.TfIdf.sum.post.stop)=0.9981"
## [1] "cor(startprice, D.TfIdf.sum.post.stem)=-0.1294"
## [1] "cor(startprice, D.TfIdf.sum.post.stop)=-0.1330"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.TfIdf.sum.post.stem as highly correlated with
## D.TfIdf.sum.post.stop## [1] "cor(D.nuppr.log, D.nwrds.unq.log)=0.9931"
## [1] "cor(startprice, D.nuppr.log)=-0.1175"
## [1] "cor(startprice, D.nwrds.unq.log)=-0.1111"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.nwrds.unq.log as highly correlated with
## D.nuppr.log## [1] "cor(D.nuppr.log, D.nwrds.log)=0.9910"
## [1] "cor(startprice, D.nuppr.log)=-0.1175"
## [1] "cor(startprice, D.nwrds.log)=-0.1026"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.nwrds.log as highly correlated with
## D.nuppr.log## [1] "cor(D.npnct24.log, D.nuppr.log)=0.9792"
## [1] "cor(startprice, D.npnct24.log)=-0.1308"
## [1] "cor(startprice, D.nuppr.log)=-0.1175"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.nuppr.log as highly correlated with
## D.npnct24.log## [1] "cor(D.npnct24.log, D.ratio.nstopwrds.nwrds)=-0.9692"
## [1] "cor(startprice, D.npnct24.log)=-0.1308"
## [1] "cor(startprice, D.ratio.nstopwrds.nwrds)=0.1320"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.npnct24.log as highly correlated with
## D.ratio.nstopwrds.nwrds## [1] "cor(D.TfIdf.sum.post.stop, D.ratio.nstopwrds.nwrds)=-0.9301"
## [1] "cor(startprice, D.TfIdf.sum.post.stop)=-0.1330"
## [1] "cor(startprice, D.ratio.nstopwrds.nwrds)=0.1320"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.ratio.nstopwrds.nwrds as highly correlated
## with D.TfIdf.sum.post.stop## [1] "cor(D.nstopwrds.log, D.terms.n.post.stem)=0.9053"
## [1] "cor(startprice, D.nstopwrds.log)=-0.0730"
## [1] "cor(startprice, D.terms.n.post.stem)=-0.0925"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.nstopwrds.log as highly correlated with
## D.terms.n.post.stem## [1] "cor(D.TfIdf.sum.post.stop, D.terms.n.post.stem)=0.8932"
## [1] "cor(startprice, D.TfIdf.sum.post.stop)=-0.1330"
## [1] "cor(startprice, D.terms.n.post.stem)=-0.0925"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.terms.n.post.stem as highly correlated with
## D.TfIdf.sum.post.stop## [1] "cor(D.npnct03.log, D.npnct06.log)=0.7921"
## [1] "cor(startprice, D.npnct03.log)=-0.0540"
## [1] "cor(startprice, D.npnct06.log)=-0.0485"## Warning in myfind_cor_features(feats_df = glb_feats_df, obs_df =
## glb_trnobs_df, : Identified D.npnct06.log as highly correlated with
## D.npnct03.log## id cor.y exclude.as.feat cor.y.abs
## 220 startprice.log 7.149535e-01 1 7.149535e-01
## 218 prdline.my.fctr 2.915828e-01 1 2.915828e-01
## 217 prdl.my.descr.fctr 2.119431e-01 0 2.119431e-01
## 215 condition.fctr 2.059509e-01 0 2.059509e-01
## 202 D.ratio.nstopwrds.nwrds 1.320185e-01 0 1.320185e-01
## 165 D.TfIdf.sum.stem.stop.Ratio 1.274926e-01 0 1.274926e-01
## 214 color.fctr 1.065848e-01 0 1.065848e-01
## 22 D.T.bare 8.814649e-02 1 8.814649e-02
## 212 carrier.fctr 6.843649e-02 0 6.843649e-02
## 19 D.T.appl 5.948707e-02 1 5.948707e-02
## 155 D.T.two 5.880736e-02 1 5.880736e-02
## 121 D.T.protector 5.627020e-02 1 5.627020e-02
## 3 .rnorm 4.492325e-02 0 4.492325e-02
## 161 D.T.will 3.987322e-02 1 3.987322e-02
## 94 D.T.may 3.980125e-02 1 3.980125e-02
## 221 storage.fctr 3.966527e-02 0 3.966527e-02
## 87 D.T.light 3.644202e-02 1 3.644202e-02
## 30 D.T.cabl 3.534438e-02 1 3.534438e-02
## 5 D.P.black 3.522629e-02 1 3.522629e-02
## 177 D.npnct10.log 3.409165e-02 0 3.409165e-02
## 137 D.T.ship 3.191119e-02 1 3.191119e-02
## 147 D.T.stylus 3.191119e-02 1 3.191119e-02
## 88 D.T.lightn 3.190598e-02 1 3.190598e-02
## 112 D.T.perfect 2.733839e-02 1 2.733839e-02
## 64 D.T.free 2.376422e-02 1 2.376422e-02
## 181 D.npnct14.log 2.360459e-02 0 2.360459e-02
## 17 D.T.alway 2.354696e-02 1 2.354696e-02
## 160 D.T.wifi 2.312108e-02 1 2.312108e-02
## 151 D.T.tear 2.122350e-02 1 2.122350e-02
## 24 D.T.blemish 2.093280e-02 1 2.093280e-02
## 31 D.T.case 1.964704e-02 1 1.964704e-02
## 101 D.T.name 1.959100e-02 1 1.959100e-02
## 27 D.T.brand 1.744254e-02 1 1.744254e-02
## 105 D.T.normal 1.691721e-02 1 1.691721e-02
## 84 D.T.keyboard 1.643556e-02 1 1.643556e-02
## 159 D.T.wear 1.598484e-02 1 1.598484e-02
## 141 D.T.sinc 1.592763e-02 1 1.592763e-02
## 108 D.T.origin 1.556346e-02 1 1.556346e-02
## 114 D.T.photo 1.483104e-02 1 1.483104e-02
## 103 D.T.new 1.481647e-02 1 1.481647e-02
## 43 D.T.cosmet 1.381043e-02 1 1.381043e-02
## 90 D.T.list 1.283101e-02 1 1.283101e-02
## 18 D.T.anoth 1.199522e-02 1 1.199522e-02
## 150 D.T.tab 1.186302e-02 1 1.186302e-02
## 98 D.T.mint 1.134368e-02 1 1.134368e-02
## 106 D.T.open 1.004085e-02 1 1.004085e-02
## 74 D.T.hous 9.945381e-03 1 9.945381e-03
## 96 D.T.minim 7.674282e-03 1 7.674282e-03
## 89 D.T.like 7.149343e-03 1 7.149343e-03
## 213 cellular.fctr 6.550796e-03 0 6.550796e-03
## 129 D.T.scratch 6.351262e-03 1 6.351262e-03
## 139 D.T.side 6.051838e-03 1 6.051838e-03
## 209 D.terms.n.stem.stop.Ratio 5.485185e-03 0 5.485185e-03
## 158 D.T.use 3.835729e-03 1 3.835729e-03
## 50 D.T.devic 6.208967e-04 1 6.208967e-04
## 109 D.T.overal 1.465557e-04 1 1.465557e-04
## 107 D.T.order 1.463177e-04 1 1.463177e-04
## 21 D.T.back 8.091362e-05 1 8.091362e-05
## 54 D.T.display -2.175503e-03 1 2.175503e-03
## 37 D.T.condit -2.233209e-03 1 2.233209e-03
## 145 D.T.sticker -2.522893e-03 1 2.522893e-03
## 72 D.T.heavili -3.238200e-03 1 3.238200e-03
## 93 D.T.mark -3.413061e-03 1 3.413061e-03
## 34 D.T.chip -5.302309e-03 1 5.302309e-03
## 100 D.T.must -6.646880e-03 1 6.646880e-03
## 148 D.T.super -7.146292e-03 1 7.146292e-03
## 167 D.ndgts.log -7.780470e-03 0 7.780470e-03
## 128 D.T.right -7.922653e-03 1 7.922653e-03
## 55 D.T.edg -8.476227e-03 1 8.476227e-03
## 110 D.T.packag -9.230147e-03 1 9.230147e-03
## 210 UniqueID -9.667837e-03 1 9.667837e-03
## 216 idseq.my -9.667837e-03 0 9.667837e-03
## 36 D.T.come -1.082433e-02 1 1.082433e-02
## 59 D.T.excel -1.142396e-02 1 1.142396e-02
## 49 D.T.detail -1.235100e-02 1 1.235100e-02
## 83 D.T.kept -1.237040e-02 1 1.237040e-02
## 11 D.T.X100 -1.259918e-02 1 1.259918e-02
## 122 D.T.qualiti -1.261137e-02 1 1.261137e-02
## 175 D.npnct08.log -1.418382e-02 0 1.418382e-02
## 57 D.T.esn -1.489998e-02 1 1.489998e-02
## 172 D.npnct05.log -1.509746e-02 0 1.509746e-02
## 8 D.P.mini -1.749374e-02 1 1.749374e-02
## 126 D.T.repeat. -1.755832e-02 1 1.755832e-02
## 53 D.T.disclaim -1.868831e-02 1 1.868831e-02
## 56 D.T.els -1.868831e-02 1 1.868831e-02
## 140 D.T.sign -1.907998e-02 1 1.907998e-02
## 133 D.T.seal -1.922218e-02 1 1.922218e-02
## 10 D.P.white -1.934418e-02 1 1.934418e-02
## 143 D.T.speaker -2.016198e-02 1 2.016198e-02
## 82 D.T.item -2.107927e-02 1 2.107927e-02
## 29 D.T.button -2.186179e-02 1 2.186179e-02
## 25 D.T.bodi -2.216204e-02 1 2.216204e-02
## 16 D.T.air -2.263112e-02 1 2.263112e-02
## 97 D.T.minor -2.276947e-02 1 2.276947e-02
## 182 D.npnct15.log -2.318775e-02 0 2.318775e-02
## 118 D.T.previous -2.391757e-02 1 2.391757e-02
## 125 D.T.refurbish -2.465350e-02 1 2.465350e-02
## 123 D.T.read -2.469470e-02 1 2.469470e-02
## 86 D.T.left -2.497617e-02 1 2.497617e-02
## 168 D.npnct01.log -2.499277e-02 0 2.499277e-02
## 4 D.P.air -2.598230e-02 1 2.598230e-02
## 132 D.T.scuff -2.654868e-02 1 2.654868e-02
## 9 D.P.spacegray -2.668782e-02 1 2.668782e-02
## 45 D.T.damag -2.688924e-02 1 2.688924e-02
## 52 D.T.ding -2.917892e-02 1 2.917892e-02
## 95 D.T.mini -2.948183e-02 1 2.948183e-02
## 136 D.T.shape -3.091532e-02 1 3.091532e-02
## 153 D.T.test -3.145019e-02 1 3.145019e-02
## 12 D.T.X2016 -3.292251e-02 1 3.292251e-02
## 14 D.T.activ -3.292251e-02 1 3.292251e-02
## 32 D.T.certifi -3.292251e-02 1 3.292251e-02
## 58 D.T.essenti -3.292251e-02 1 3.292251e-02
## 135 D.T.seller -3.292251e-02 1 3.292251e-02
## 157 D.T.upper -3.292251e-02 1 3.292251e-02
## 174 D.npnct07.log -3.292251e-02 0 3.292251e-02
## 65 D.T.full -3.309088e-02 1 3.309088e-02
## 40 D.T.corner -3.469552e-02 1 3.469552e-02
## 183 D.npnct16.log -3.550477e-02 0 3.550477e-02
## 131 D.T.scroll -3.677278e-02 1 3.677278e-02
## 13 D.T.accessori -3.942989e-02 1 3.942989e-02
## 102 D.T.near -3.958278e-02 1 3.958278e-02
## 77 D.T.imei -4.051507e-02 1 4.051507e-02
## 154 D.T.top -4.069093e-02 1 4.069093e-02
## 15 D.T.affect -4.106701e-02 1 4.106701e-02
## 179 D.npnct12.log -4.255440e-02 0 4.255440e-02
## 76 D.T.imag -4.419077e-02 1 4.419077e-02
## 134 D.T.see -4.476209e-02 1 4.476209e-02
## 92 D.T.manufactur -4.598249e-02 1 4.598249e-02
## 68 D.T.geek -4.611729e-02 1 4.611729e-02
## 144 D.T.squad -4.611729e-02 1 4.611729e-02
## 28 D.T.broken -4.627157e-02 1 4.627157e-02
## 41 D.T.corpor -4.694764e-02 1 4.694764e-02
## 116 D.T.pictur -4.740846e-02 1 4.740846e-02
## 26 D.T.box -4.751438e-02 1 4.751438e-02
## 47 D.T.dent -4.787777e-02 1 4.787777e-02
## 81 D.T.ipad -4.789440e-02 1 4.789440e-02
## 85 D.T.least -4.811488e-02 1 4.811488e-02
## 119 D.T.problem -4.811488e-02 1 4.811488e-02
## 173 D.npnct06.log -4.854092e-02 0 4.854092e-02
## 142 D.T.small -5.175750e-02 1 5.175750e-02
## 70 D.T.great -5.251571e-02 1 5.251571e-02
## 69 D.T.good -5.339406e-02 1 5.339406e-02
## 170 D.npnct03.log -5.404400e-02 0 5.404400e-02
## 35 D.T.clean -5.560772e-02 1 5.560772e-02
## 91 D.T.lock -5.698040e-02 1 5.698040e-02
## 127 D.T.retail -5.703044e-02 1 5.703044e-02
## 156 D.T.unit -5.758012e-02 1 5.758012e-02
## 75 D.T.icloud -5.882178e-02 1 5.882178e-02
## 138 D.T.show -6.307305e-02 1 6.307305e-02
## 51 D.T.digit -6.365852e-02 1 6.365852e-02
## 33 D.T.charger -6.389826e-02 1 6.389826e-02
## 117 D.T.pleas -6.503361e-02 1 6.503361e-02
## 44 D.T.crack -6.585419e-02 1 6.585419e-02
## 162 D.T.work -6.814552e-02 1 6.814552e-02
## 78 D.T.includ -7.222190e-02 1 7.222190e-02
## 198 D.nstopwrds.log -7.300093e-02 0 7.300093e-02
## 124 D.T.refer -7.982025e-02 1 7.982025e-02
## 178 D.npnct11.log -8.010689e-02 0 8.010689e-02
## 71 D.T.handset -8.087908e-02 1 8.087908e-02
## 104 D.T.non -8.091620e-02 1 8.091620e-02
## 48 D.T.descript -8.241350e-02 1 8.241350e-02
## 180 D.npnct13.log -8.305756e-02 0 8.305756e-02
## 130 D.T.screen -9.059270e-02 1 9.059270e-02
## 207 D.terms.n.post.stop -9.205229e-02 0 9.205229e-02
## 205 D.terms.n.post.stem -9.253471e-02 0 9.253471e-02
## 1 .clusterid -9.430216e-02 1 9.430216e-02
## 2 .clusterid.fctr -9.430216e-02 0 9.430216e-02
## 200 D.nwrds.log -1.025624e-01 0 1.025624e-01
## 38 D.T.contact -1.043433e-01 1 1.043433e-01
## 208 D.terms.n.post.stop.log -1.106787e-01 0 1.106787e-01
## 201 D.nwrds.unq.log -1.110693e-01 0 1.110693e-01
## 206 D.terms.n.post.stem.log -1.110693e-01 0 1.110693e-01
## 66 D.T.fulli -1.118262e-01 1 1.118262e-01
## 166 D.nchrs.log -1.168104e-01 0 1.168104e-01
## 199 D.nuppr.log -1.175170e-01 0 1.175170e-01
## 163 D.TfIdf.sum.post.stem -1.293971e-01 0 1.293971e-01
## 204 D.sum.TfIdf -1.293971e-01 0 1.293971e-01
## 67 D.T.function. -1.299818e-01 1 1.299818e-01
## 191 D.npnct24.log -1.307803e-01 0 1.307803e-01
## 164 D.TfIdf.sum.post.stop -1.329670e-01 0 1.329670e-01
## 203 D.ratio.sum.TfIdf.nwrds -1.371940e-01 0 1.371940e-01
## 211 biddable -4.789687e-01 0 4.789687e-01
## 6 D.P.gold NA 1 NA
## 7 D.P.http NA 1 NA
## 20 D.T.averag NA 1 NA
## 23 D.T.beetl NA 1 NA
## 39 D.T.contain NA 1 NA
## 42 D.T.correct NA 1 NA
## 46 D.T.defens NA 1 NA
## 60 D.T.expect NA 1 NA
## 61 D.T.fair NA 1 NA
## 62 D.T.featur NA 1 NA
## 63 D.T.final NA 1 NA
## 73 D.T.higher NA 1 NA
## 79 D.T.inspect NA 1 NA
## 80 D.T.intro NA 1 NA
## 99 D.T.money NA 1 NA
## 111 D.T.passcod NA 1 NA
## 113 D.T.phone NA 1 NA
## 115 D.T.pic NA 1 NA
## 120 D.T.profession NA 1 NA
## 146 D.T.stock NA 1 NA
## 149 D.T.sync NA 1 NA
## 152 D.T.technician NA 1 NA
## 169 D.npnct02.log NA 0 NA
## 171 D.npnct04.log NA 0 NA
## 176 D.npnct09.log NA 0 NA
## 184 D.npnct17.log NA 0 NA
## 185 D.npnct18.log NA 0 NA
## 186 D.npnct19.log NA 0 NA
## 187 D.npnct20.log NA 0 NA
## 188 D.npnct21.log NA 0 NA
## 189 D.npnct22.log NA 0 NA
## 190 D.npnct23.log NA 0 NA
## 192 D.npnct25.log NA 0 NA
## 193 D.npnct26.log NA 0 NA
## 194 D.npnct27.log NA 0 NA
## 195 D.npnct28.log NA 0 NA
## 196 D.npnct29.log NA 0 NA
## 197 D.npnct30.log NA 0 NA
## 219 sold NA 1 NA
## cor.high.X freqRatio percentUnique zeroVar nzv
## 220 <NA> 4.000000 28.3720930 FALSE FALSE
## 218 <NA> 1.020408 0.8139535 FALSE FALSE
## 217 <NA> 1.091954 1.6279070 FALSE FALSE
## 215 <NA> 5.528302 0.6976744 FALSE FALSE
## 202 D.TfIdf.sum.post.stop 13.945946 7.0930233 FALSE FALSE
## 165 <NA> 106.000000 33.9534884 FALSE FALSE
## 214 <NA> 1.500000 0.5813953 FALSE FALSE
## 22 <NA> 428.500000 0.3488372 FALSE TRUE
## 212 <NA> 4.105263 0.8139535 FALSE FALSE
## 19 <NA> 281.333333 1.1627907 FALSE TRUE
## 155 <NA> 427.500000 0.4651163 FALSE TRUE
## 121 <NA> 426.500000 0.5813953 FALSE TRUE
## 3 <NA> 1.000000 100.0000000 FALSE FALSE
## 161 <NA> 212.750000 0.5813953 FALSE TRUE
## 94 <NA> 141.333333 0.5813953 FALSE TRUE
## 221 <NA> 2.917722 0.5813953 FALSE FALSE
## 87 <NA> 167.800000 1.1627907 FALSE TRUE
## 30 <NA> 428.000000 0.4651163 FALSE TRUE
## 5 <NA> 171.000000 0.2325581 FALSE TRUE
## 177 <NA> 429.000000 0.2325581 FALSE TRUE
## 137 <NA> 859.000000 0.2325581 FALSE TRUE
## 147 <NA> 859.000000 0.2325581 FALSE TRUE
## 88 <NA> 859.000000 0.2325581 FALSE TRUE
## 112 <NA> 211.000000 0.9302326 FALSE TRUE
## 64 <NA> 857.000000 0.4651163 FALSE TRUE
## 181 <NA> 65.076923 0.3488372 FALSE TRUE
## 17 <NA> 282.666667 0.8139535 FALSE TRUE
## 160 <NA> 428.500000 0.3488372 FALSE TRUE
## 151 <NA> 212.000000 0.5813953 FALSE TRUE
## 24 <NA> 857.000000 0.4651163 FALSE TRUE
## 31 <NA> 103.375000 1.3953488 FALSE TRUE
## 101 <NA> 858.000000 0.3488372 FALSE TRUE
## 27 <NA> 426.000000 0.9302326 FALSE TRUE
## 105 <NA> 212.000000 0.8139535 FALSE TRUE
## 84 <NA> 858.000000 0.3488372 FALSE TRUE
## 159 <NA> 103.875000 1.0465116 FALSE TRUE
## 141 <NA> 427.000000 0.5813953 FALSE TRUE
## 108 <NA> 426.500000 0.6976744 FALSE TRUE
## 114 <NA> 283.666667 0.8139535 FALSE TRUE
## 103 <NA> 117.714286 1.5116279 FALSE TRUE
## 43 <NA> 139.666667 0.8139535 FALSE TRUE
## 90 <NA> 428.500000 0.3488372 FALSE TRUE
## 18 <NA> 429.000000 0.2325581 FALSE TRUE
## 150 <NA> 859.000000 0.2325581 FALSE TRUE
## 98 <NA> 425.500000 1.0465116 FALSE TRUE
## 106 <NA> 212.250000 0.8139535 FALSE TRUE
## 74 <NA> 857.000000 0.4651163 FALSE TRUE
## 96 <NA> 284.333333 0.5813953 FALSE TRUE
## 89 <NA> 423.500000 1.2790698 FALSE TRUE
## 213 <NA> 2.405286 0.3488372 FALSE FALSE
## 129 <NA> 48.125000 1.7441860 FALSE TRUE
## 139 <NA> 858.000000 0.3488372 FALSE TRUE
## 209 <NA> 119.000000 0.8139535 FALSE TRUE
## 158 <NA> 55.071429 1.8604651 FALSE TRUE
## 50 <NA> 120.285714 0.8139535 FALSE TRUE
## 109 <NA> 859.000000 0.2325581 FALSE TRUE
## 107 <NA> 427.500000 0.5813953 FALSE TRUE
## 21 <NA> 139.000000 1.2790698 FALSE TRUE
## 54 <NA> 427.500000 0.5813953 FALSE TRUE
## 37 <NA> 35.047619 1.8604651 FALSE TRUE
## 145 <NA> 428.500000 0.3488372 FALSE TRUE
## 72 <NA> 859.000000 0.2325581 FALSE TRUE
## 93 <NA> 427.000000 0.6976744 FALSE TRUE
## 34 <NA> 858.000000 0.3488372 FALSE TRUE
## 100 <NA> 857.000000 0.4651163 FALSE TRUE
## 148 <NA> 859.000000 0.2325581 FALSE TRUE
## 167 <NA> 38.190476 1.2790698 FALSE TRUE
## 128 <NA> 427.500000 0.5813953 FALSE TRUE
## 55 <NA> 285.666667 0.2325581 FALSE TRUE
## 110 <NA> 425.500000 0.8139535 FALSE TRUE
## 210 <NA> 1.000000 100.0000000 FALSE FALSE
## 216 <NA> 1.000000 100.0000000 FALSE FALSE
## 36 <NA> 210.500000 1.0465116 FALSE TRUE
## 59 <NA> 166.000000 1.5116279 FALSE TRUE
## 49 <NA> 859.000000 0.2325581 FALSE TRUE
## 83 <NA> 283.666667 0.9302326 FALSE TRUE
## 11 <NA> 428.000000 0.4651163 FALSE TRUE
## 122 <NA> 859.000000 0.2325581 FALSE TRUE
## 175 <NA> 70.416667 0.3488372 FALSE TRUE
## 57 <NA> 429.000000 0.2325581 FALSE TRUE
## 172 <NA> 214.000000 0.2325581 FALSE TRUE
## 8 <NA> 121.714286 0.3488372 FALSE TRUE
## 126 <NA> 859.000000 0.2325581 FALSE TRUE
## 53 <NA> 859.000000 0.2325581 FALSE TRUE
## 56 <NA> 859.000000 0.2325581 FALSE TRUE
## 140 <NA> 91.888889 0.9302326 FALSE TRUE
## 133 <NA> 858.000000 0.3488372 FALSE TRUE
## 10 <NA> 213.750000 0.3488372 FALSE TRUE
## 143 <NA> 859.000000 0.2325581 FALSE TRUE
## 82 <NA> 91.888889 1.2790698 FALSE TRUE
## 29 <NA> 857.000000 0.4651163 FALSE TRUE
## 25 <NA> 858.000000 0.3488372 FALSE TRUE
## 16 <NA> 426.500000 0.6976744 FALSE TRUE
## 97 <NA> 91.777778 1.0465116 FALSE TRUE
## 182 <NA> 94.111111 0.3488372 FALSE TRUE
## 118 <NA> 212.750000 0.5813953 FALSE TRUE
## 125 <NA> 428.000000 0.4651163 FALSE TRUE
## 123 <NA> 283.333333 0.6976744 FALSE TRUE
## 86 <NA> 426.500000 0.8139535 FALSE TRUE
## 168 <NA> 48.941176 0.5813953 FALSE TRUE
## 4 <NA> 121.857143 0.2325581 FALSE TRUE
## 132 <NA> 211.250000 0.8139535 FALSE TRUE
## 9 <NA> 429.000000 0.2325581 FALSE TRUE
## 45 <NA> 283.333333 0.9302326 FALSE TRUE
## 52 <NA> 426.000000 0.8139535 FALSE TRUE
## 95 <NA> 284.000000 0.8139535 FALSE TRUE
## 136 <NA> 426.000000 0.9302326 FALSE TRUE
## 153 <NA> 284.333333 0.5813953 FALSE TRUE
## 12 <NA> 859.000000 0.2325581 FALSE TRUE
## 14 <NA> 859.000000 0.2325581 FALSE TRUE
## 32 <NA> 859.000000 0.2325581 FALSE TRUE
## 58 <NA> 859.000000 0.2325581 FALSE TRUE
## 135 <NA> 859.000000 0.2325581 FALSE TRUE
## 157 <NA> 859.000000 0.2325581 FALSE TRUE
## 174 <NA> 859.000000 0.2325581 FALSE TRUE
## 65 <NA> 285.000000 0.4651163 FALSE TRUE
## 40 <NA> 169.600000 0.5813953 FALSE TRUE
## 183 <NA> 52.125000 0.3488372 FALSE TRUE
## 131 <NA> 285.666667 0.2325581 FALSE TRUE
## 13 <NA> 213.000000 0.6976744 FALSE TRUE
## 102 <NA> 429.000000 0.2325581 FALSE TRUE
## 77 <NA> 858.000000 0.3488372 FALSE TRUE
## 154 <NA> 211.750000 1.0465116 FALSE TRUE
## 15 <NA> 428.000000 0.3488372 FALSE TRUE
## 179 <NA> 30.703704 0.3488372 FALSE TRUE
## 76 <NA> 858.000000 0.3488372 FALSE TRUE
## 134 <NA> 210.000000 1.1627907 FALSE TRUE
## 92 <NA> 857.000000 0.4651163 FALSE TRUE
## 68 <NA> 858.000000 0.3488372 FALSE TRUE
## 144 <NA> 858.000000 0.3488372 FALSE TRUE
## 28 <NA> 170.000000 0.8139535 FALSE TRUE
## 41 <NA> 429.000000 0.2325581 FALSE TRUE
## 116 <NA> 211.750000 0.8139535 FALSE TRUE
## 26 <NA> 139.500000 1.1627907 FALSE TRUE
## 47 <NA> 167.400000 1.0465116 FALSE TRUE
## 81 <NA> 56.642857 1.8604651 FALSE TRUE
## 85 <NA> 214.000000 0.2325581 FALSE TRUE
## 119 <NA> 214.000000 0.2325581 FALSE TRUE
## 173 D.npnct03.log 64.461538 0.3488372 FALSE TRUE
## 142 <NA> 282.000000 0.9302326 FALSE TRUE
## 70 <NA> 117.571429 1.3953488 FALSE TRUE
## 69 <NA> 61.615385 1.7441860 FALSE TRUE
## 170 <NA> 84.500000 0.3488372 FALSE TRUE
## 35 <NA> 283.333333 0.9302326 FALSE TRUE
## 91 <NA> 211.000000 1.1627907 FALSE TRUE
## 127 <NA> 428.500000 0.3488372 FALSE TRUE
## 156 <NA> 141.666667 0.5813953 FALSE TRUE
## 75 <NA> 168.800000 1.0465116 FALSE TRUE
## 138 <NA> 140.666667 0.6976744 FALSE TRUE
## 51 <NA> 425.500000 0.8139535 FALSE TRUE
## 33 <NA> 211.000000 1.0465116 FALSE TRUE
## 117 <NA> 103.875000 1.0465116 FALSE TRUE
## 44 <NA> 166.400000 1.5116279 FALSE TRUE
## 162 <NA> 100.625000 1.5116279 FALSE TRUE
## 78 <NA> 167.000000 1.2790698 FALSE TRUE
## 198 D.terms.n.post.stem 15.216216 1.7441860 FALSE FALSE
## 124 <NA> 142.000000 0.3488372 FALSE TRUE
## 178 <NA> 9.701299 0.8139535 FALSE FALSE
## 71 <NA> 142.333333 0.2325581 FALSE TRUE
## 104 <NA> 170.800000 0.3488372 FALSE TRUE
## 48 <NA> 119.857143 0.9302326 FALSE TRUE
## 180 <NA> 5.935780 0.6976744 FALSE FALSE
## 130 <NA> 65.750000 1.6279070 FALSE TRUE
## 207 D.terms.n.post.stem 9.555556 1.7441860 FALSE FALSE
## 205 D.TfIdf.sum.post.stop 9.214286 1.7441860 FALSE FALSE
## 1 <NA> 7.033333 0.8139535 FALSE FALSE
## 2 <NA> 7.033333 0.8139535 FALSE FALSE
## 200 D.nuppr.log 16.125000 2.7906977 FALSE FALSE
## 38 <NA> 121.428571 0.4651163 FALSE TRUE
## 208 D.nwrds.unq.log 9.555556 1.7441860 FALSE FALSE
## 201 D.nuppr.log 9.214286 1.7441860 FALSE FALSE
## 206 D.nwrds.unq.log 9.214286 1.7441860 FALSE FALSE
## 66 <NA> 119.428571 1.1627907 FALSE TRUE
## 166 D.nuppr.log 19.846154 10.6976744 FALSE FALSE
## 199 D.npnct24.log 19.111111 8.6046512 FALSE TRUE
## 163 D.TfIdf.sum.post.stop 103.200000 35.2325581 FALSE FALSE
## 204 D.TfIdf.sum.post.stem 103.200000 35.2325581 FALSE FALSE
## 67 <NA> 68.666667 1.2790698 FALSE TRUE
## 191 D.ratio.nstopwrds.nwrds 1.500000 0.2325581 FALSE FALSE
## 164 <NA> 103.200000 35.2325581 FALSE FALSE
## 203 <NA> 103.200000 35.5813953 FALSE FALSE
## 211 <NA> 2.909091 0.2325581 FALSE FALSE
## 6 <NA> 0.000000 0.1162791 TRUE TRUE
## 7 <NA> 0.000000 0.1162791 TRUE TRUE
## 20 <NA> 0.000000 0.1162791 TRUE TRUE
## 23 <NA> 0.000000 0.1162791 TRUE TRUE
## 39 <NA> 0.000000 0.1162791 TRUE TRUE
## 42 <NA> 0.000000 0.1162791 TRUE TRUE
## 46 <NA> 0.000000 0.1162791 TRUE TRUE
## 60 <NA> 0.000000 0.1162791 TRUE TRUE
## 61 <NA> 0.000000 0.1162791 TRUE TRUE
## 62 <NA> 0.000000 0.1162791 TRUE TRUE
## 63 <NA> 0.000000 0.1162791 TRUE TRUE
## 73 <NA> 0.000000 0.1162791 TRUE TRUE
## 79 <NA> 0.000000 0.1162791 TRUE TRUE
## 80 <NA> 0.000000 0.1162791 TRUE TRUE
## 99 <NA> 0.000000 0.1162791 TRUE TRUE
## 111 <NA> 0.000000 0.1162791 TRUE TRUE
## 113 <NA> 0.000000 0.1162791 TRUE TRUE
## 115 <NA> 0.000000 0.1162791 TRUE TRUE
## 120 <NA> 0.000000 0.1162791 TRUE TRUE
## 146 <NA> 0.000000 0.1162791 TRUE TRUE
## 149 <NA> 0.000000 0.1162791 TRUE TRUE
## 152 <NA> 0.000000 0.1162791 TRUE TRUE
## 169 <NA> 0.000000 0.1162791 TRUE TRUE
## 171 <NA> 0.000000 0.1162791 TRUE TRUE
## 176 <NA> 0.000000 0.1162791 TRUE TRUE
## 184 <NA> 0.000000 0.1162791 TRUE TRUE
## 185 <NA> 0.000000 0.1162791 TRUE TRUE
## 186 <NA> 0.000000 0.1162791 TRUE TRUE
## 187 <NA> 0.000000 0.1162791 TRUE TRUE
## 188 <NA> 0.000000 0.1162791 TRUE TRUE
## 189 <NA> 0.000000 0.1162791 TRUE TRUE
## 190 <NA> 0.000000 0.1162791 TRUE TRUE
## 192 <NA> 0.000000 0.1162791 TRUE TRUE
## 193 <NA> 0.000000 0.1162791 TRUE TRUE
## 194 <NA> 0.000000 0.1162791 TRUE TRUE
## 195 <NA> 0.000000 0.1162791 TRUE TRUE
## 196 <NA> 0.000000 0.1162791 TRUE TRUE
## 197 <NA> 0.000000 0.1162791 TRUE TRUE
## 219 <NA> 0.000000 0.1162791 TRUE TRUE
## myNearZV is.cor.y.abs.low
## 220 FALSE FALSE
## 218 FALSE FALSE
## 217 FALSE FALSE
## 215 FALSE FALSE
## 202 FALSE FALSE
## 165 FALSE FALSE
## 214 FALSE FALSE
## 22 TRUE FALSE
## 212 FALSE FALSE
## 19 TRUE FALSE
## 155 TRUE FALSE
## 121 TRUE FALSE
## 3 FALSE FALSE
## 161 FALSE TRUE
## 94 FALSE TRUE
## 221 FALSE TRUE
## 87 FALSE TRUE
## 30 TRUE TRUE
## 5 FALSE TRUE
## 177 TRUE TRUE
## 137 TRUE TRUE
## 147 TRUE TRUE
## 88 TRUE TRUE
## 112 FALSE TRUE
## 64 TRUE TRUE
## 181 FALSE TRUE
## 17 TRUE TRUE
## 160 TRUE TRUE
## 151 FALSE TRUE
## 24 TRUE TRUE
## 31 FALSE TRUE
## 101 TRUE TRUE
## 27 TRUE TRUE
## 105 FALSE TRUE
## 84 TRUE TRUE
## 159 FALSE TRUE
## 141 TRUE TRUE
## 108 TRUE TRUE
## 114 TRUE TRUE
## 103 FALSE TRUE
## 43 FALSE TRUE
## 90 TRUE TRUE
## 18 TRUE TRUE
## 150 TRUE TRUE
## 98 TRUE TRUE
## 106 FALSE TRUE
## 74 TRUE TRUE
## 96 TRUE TRUE
## 89 TRUE TRUE
## 213 FALSE TRUE
## 129 FALSE TRUE
## 139 TRUE TRUE
## 209 FALSE TRUE
## 158 FALSE TRUE
## 50 FALSE TRUE
## 109 TRUE TRUE
## 107 TRUE TRUE
## 21 FALSE TRUE
## 54 TRUE TRUE
## 37 FALSE TRUE
## 145 TRUE TRUE
## 72 TRUE TRUE
## 93 TRUE TRUE
## 34 TRUE TRUE
## 100 TRUE TRUE
## 148 TRUE TRUE
## 167 FALSE TRUE
## 128 TRUE TRUE
## 55 TRUE TRUE
## 110 TRUE TRUE
## 210 FALSE TRUE
## 216 FALSE TRUE
## 36 FALSE TRUE
## 59 FALSE TRUE
## 49 TRUE TRUE
## 83 TRUE TRUE
## 11 TRUE TRUE
## 122 TRUE TRUE
## 175 FALSE TRUE
## 57 TRUE TRUE
## 172 FALSE TRUE
## 8 FALSE TRUE
## 126 TRUE TRUE
## 53 TRUE TRUE
## 56 TRUE TRUE
## 140 FALSE TRUE
## 133 TRUE TRUE
## 10 FALSE TRUE
## 143 TRUE TRUE
## 82 FALSE TRUE
## 29 TRUE TRUE
## 25 TRUE TRUE
## 16 TRUE TRUE
## 97 FALSE TRUE
## 182 FALSE TRUE
## 118 FALSE TRUE
## 125 TRUE TRUE
## 123 TRUE TRUE
## 86 TRUE TRUE
## 168 FALSE TRUE
## 4 FALSE TRUE
## 132 FALSE TRUE
## 9 TRUE TRUE
## 45 TRUE TRUE
## 52 TRUE TRUE
## 95 TRUE TRUE
## 136 TRUE TRUE
## 153 TRUE TRUE
## 12 TRUE TRUE
## 14 TRUE TRUE
## 32 TRUE TRUE
## 58 TRUE TRUE
## 135 TRUE TRUE
## 157 TRUE TRUE
## 174 TRUE TRUE
## 65 TRUE TRUE
## 40 FALSE TRUE
## 183 FALSE TRUE
## 131 TRUE TRUE
## 13 FALSE TRUE
## 102 TRUE TRUE
## 77 TRUE TRUE
## 154 FALSE TRUE
## 15 TRUE TRUE
## 179 FALSE TRUE
## 76 TRUE TRUE
## 134 FALSE TRUE
## 92 TRUE FALSE
## 68 TRUE FALSE
## 144 TRUE FALSE
## 28 FALSE FALSE
## 41 TRUE FALSE
## 116 FALSE FALSE
## 26 FALSE FALSE
## 47 FALSE FALSE
## 81 FALSE FALSE
## 85 FALSE FALSE
## 119 FALSE FALSE
## 173 FALSE FALSE
## 142 TRUE FALSE
## 70 FALSE FALSE
## 69 FALSE FALSE
## 170 FALSE FALSE
## 35 TRUE FALSE
## 91 FALSE FALSE
## 127 TRUE FALSE
## 156 FALSE FALSE
## 75 FALSE FALSE
## 138 FALSE FALSE
## 51 TRUE FALSE
## 33 FALSE FALSE
## 117 FALSE FALSE
## 44 FALSE FALSE
## 162 FALSE FALSE
## 78 FALSE FALSE
## 198 FALSE FALSE
## 124 FALSE FALSE
## 178 FALSE FALSE
## 71 FALSE FALSE
## 104 FALSE FALSE
## 48 FALSE FALSE
## 180 FALSE FALSE
## 130 FALSE FALSE
## 207 FALSE FALSE
## 205 FALSE FALSE
## 1 FALSE FALSE
## 2 FALSE FALSE
## 200 FALSE FALSE
## 38 FALSE FALSE
## 208 FALSE FALSE
## 201 FALSE FALSE
## 206 FALSE FALSE
## 66 FALSE FALSE
## 166 FALSE FALSE
## 199 FALSE FALSE
## 163 FALSE FALSE
## 204 FALSE FALSE
## 67 FALSE FALSE
## 191 FALSE FALSE
## 164 FALSE FALSE
## 203 FALSE FALSE
## 211 FALSE FALSE
## 6 TRUE NA
## 7 TRUE NA
## 20 TRUE NA
## 23 TRUE NA
## 39 TRUE NA
## 42 TRUE NA
## 46 TRUE NA
## 60 TRUE NA
## 61 TRUE NA
## 62 TRUE NA
## 63 TRUE NA
## 73 TRUE NA
## 79 TRUE NA
## 80 TRUE NA
## 99 TRUE NA
## 111 TRUE NA
## 113 TRUE NA
## 115 TRUE NA
## 120 TRUE NA
## 146 TRUE NA
## 149 TRUE NA
## 152 TRUE NA
## 169 TRUE NA
## 171 TRUE NA
## 176 TRUE NA
## 184 TRUE NA
## 185 TRUE NA
## 186 TRUE NA
## 187 TRUE NA
## 188 TRUE NA
## 189 TRUE NA
## 190 TRUE NA
## 192 TRUE NA
## 193 TRUE NA
## 194 TRUE NA
## 195 TRUE NA
## 196 TRUE NA
## 197 TRUE NA
## 219 TRUE NA#subset(glb_feats_df, id %in% c("A.nuppr.log", "S.nuppr.log"))
print(myplot_scatter(glb_feats_df, "percentUnique", "freqRatio",
colorcol_name="myNearZV", jitter=TRUE) +
geom_point(aes(shape=nzv)) + xlim(-5, 25))## Warning in myplot_scatter(glb_feats_df, "percentUnique", "freqRatio",
## colorcol_name = "myNearZV", : converting myNearZV to class:factor## Warning: Removed 9 rows containing missing values (geom_point).## Warning: Removed 9 rows containing missing values (geom_point).## Warning: Removed 9 rows containing missing values (geom_point).
print(subset(glb_feats_df, myNearZV))## id cor.y exclude.as.feat cor.y.abs cor.high.X
## 22 D.T.bare 0.0881464943 1 0.0881464943 <NA>
## 19 D.T.appl 0.0594870684 1 0.0594870684 <NA>
## 155 D.T.two 0.0588073617 1 0.0588073617 <NA>
## 121 D.T.protector 0.0562701995 1 0.0562701995 <NA>
## 30 D.T.cabl 0.0353443756 1 0.0353443756 <NA>
## 177 D.npnct10.log 0.0340916518 0 0.0340916518 <NA>
## 137 D.T.ship 0.0319111887 1 0.0319111887 <NA>
## 147 D.T.stylus 0.0319111887 1 0.0319111887 <NA>
## 88 D.T.lightn 0.0319059814 1 0.0319059814 <NA>
## 64 D.T.free 0.0237642197 1 0.0237642197 <NA>
## 17 D.T.alway 0.0235469600 1 0.0235469600 <NA>
## 160 D.T.wifi 0.0231210811 1 0.0231210811 <NA>
## 24 D.T.blemish 0.0209327993 1 0.0209327993 <NA>
## 101 D.T.name 0.0195910027 1 0.0195910027 <NA>
## 27 D.T.brand 0.0174425430 1 0.0174425430 <NA>
## 84 D.T.keyboard 0.0164355634 1 0.0164355634 <NA>
## 141 D.T.sinc 0.0159276294 1 0.0159276294 <NA>
## 108 D.T.origin 0.0155634631 1 0.0155634631 <NA>
## 114 D.T.photo 0.0148310440 1 0.0148310440 <NA>
## 90 D.T.list 0.0128310056 1 0.0128310056 <NA>
## 18 D.T.anoth 0.0119952172 1 0.0119952172 <NA>
## 150 D.T.tab 0.0118630187 1 0.0118630187 <NA>
## 98 D.T.mint 0.0113436807 1 0.0113436807 <NA>
## 74 D.T.hous 0.0099453811 1 0.0099453811 <NA>
## 96 D.T.minim 0.0076742818 1 0.0076742818 <NA>
## 89 D.T.like 0.0071493429 1 0.0071493429 <NA>
## 139 D.T.side 0.0060518383 1 0.0060518383 <NA>
## 109 D.T.overal 0.0001465557 1 0.0001465557 <NA>
## 107 D.T.order 0.0001463177 1 0.0001463177 <NA>
## 54 D.T.display -0.0021755028 1 0.0021755028 <NA>
## 145 D.T.sticker -0.0025228933 1 0.0025228933 <NA>
## 72 D.T.heavili -0.0032382003 1 0.0032382003 <NA>
## 93 D.T.mark -0.0034130612 1 0.0034130612 <NA>
## 34 D.T.chip -0.0053023086 1 0.0053023086 <NA>
## 100 D.T.must -0.0066468797 1 0.0066468797 <NA>
## 148 D.T.super -0.0071462916 1 0.0071462916 <NA>
## 128 D.T.right -0.0079226534 1 0.0079226534 <NA>
## 55 D.T.edg -0.0084762275 1 0.0084762275 <NA>
## 110 D.T.packag -0.0092301470 1 0.0092301470 <NA>
## 49 D.T.detail -0.0123510048 1 0.0123510048 <NA>
## 83 D.T.kept -0.0123704001 1 0.0123704001 <NA>
## 11 D.T.X100 -0.0125991798 1 0.0125991798 <NA>
## 122 D.T.qualiti -0.0126113707 1 0.0126113707 <NA>
## 57 D.T.esn -0.0148999847 1 0.0148999847 <NA>
## 126 D.T.repeat. -0.0175583217 1 0.0175583217 <NA>
## 53 D.T.disclaim -0.0186883095 1 0.0186883095 <NA>
## 56 D.T.els -0.0186883095 1 0.0186883095 <NA>
## 133 D.T.seal -0.0192221758 1 0.0192221758 <NA>
## 143 D.T.speaker -0.0201619802 1 0.0201619802 <NA>
## 29 D.T.button -0.0218617855 1 0.0218617855 <NA>
## 25 D.T.bodi -0.0221620418 1 0.0221620418 <NA>
## 16 D.T.air -0.0226311181 1 0.0226311181 <NA>
## 125 D.T.refurbish -0.0246535023 1 0.0246535023 <NA>
## 123 D.T.read -0.0246947001 1 0.0246947001 <NA>
## 86 D.T.left -0.0249761745 1 0.0249761745 <NA>
## 9 D.P.spacegray -0.0266878200 1 0.0266878200 <NA>
## 45 D.T.damag -0.0268892447 1 0.0268892447 <NA>
## 52 D.T.ding -0.0291789181 1 0.0291789181 <NA>
## 95 D.T.mini -0.0294818347 1 0.0294818347 <NA>
## 136 D.T.shape -0.0309153178 1 0.0309153178 <NA>
## 153 D.T.test -0.0314501886 1 0.0314501886 <NA>
## 12 D.T.X2016 -0.0329225102 1 0.0329225102 <NA>
## 14 D.T.activ -0.0329225102 1 0.0329225102 <NA>
## 32 D.T.certifi -0.0329225102 1 0.0329225102 <NA>
## 58 D.T.essenti -0.0329225102 1 0.0329225102 <NA>
## 135 D.T.seller -0.0329225102 1 0.0329225102 <NA>
## 157 D.T.upper -0.0329225102 1 0.0329225102 <NA>
## 174 D.npnct07.log -0.0329225102 0 0.0329225102 <NA>
## 65 D.T.full -0.0330908847 1 0.0330908847 <NA>
## 131 D.T.scroll -0.0367727850 1 0.0367727850 <NA>
## 102 D.T.near -0.0395827798 1 0.0395827798 <NA>
## 77 D.T.imei -0.0405150729 1 0.0405150729 <NA>
## 15 D.T.affect -0.0410670141 1 0.0410670141 <NA>
## 76 D.T.imag -0.0441907651 1 0.0441907651 <NA>
## 92 D.T.manufactur -0.0459824900 1 0.0459824900 <NA>
## 68 D.T.geek -0.0461172914 1 0.0461172914 <NA>
## 144 D.T.squad -0.0461172914 1 0.0461172914 <NA>
## 41 D.T.corpor -0.0469476440 1 0.0469476440 <NA>
## 142 D.T.small -0.0517574968 1 0.0517574968 <NA>
## 35 D.T.clean -0.0556077157 1 0.0556077157 <NA>
## 127 D.T.retail -0.0570304385 1 0.0570304385 <NA>
## 51 D.T.digit -0.0636585214 1 0.0636585214 <NA>
## 6 D.P.gold NA 1 NA <NA>
## 7 D.P.http NA 1 NA <NA>
## 20 D.T.averag NA 1 NA <NA>
## 23 D.T.beetl NA 1 NA <NA>
## 39 D.T.contain NA 1 NA <NA>
## 42 D.T.correct NA 1 NA <NA>
## 46 D.T.defens NA 1 NA <NA>
## 60 D.T.expect NA 1 NA <NA>
## 61 D.T.fair NA 1 NA <NA>
## 62 D.T.featur NA 1 NA <NA>
## 63 D.T.final NA 1 NA <NA>
## 73 D.T.higher NA 1 NA <NA>
## 79 D.T.inspect NA 1 NA <NA>
## 80 D.T.intro NA 1 NA <NA>
## 99 D.T.money NA 1 NA <NA>
## 111 D.T.passcod NA 1 NA <NA>
## 113 D.T.phone NA 1 NA <NA>
## 115 D.T.pic NA 1 NA <NA>
## 120 D.T.profession NA 1 NA <NA>
## 146 D.T.stock NA 1 NA <NA>
## 149 D.T.sync NA 1 NA <NA>
## 152 D.T.technician NA 1 NA <NA>
## 169 D.npnct02.log NA 0 NA <NA>
## 171 D.npnct04.log NA 0 NA <NA>
## 176 D.npnct09.log NA 0 NA <NA>
## 184 D.npnct17.log NA 0 NA <NA>
## 185 D.npnct18.log NA 0 NA <NA>
## 186 D.npnct19.log NA 0 NA <NA>
## 187 D.npnct20.log NA 0 NA <NA>
## 188 D.npnct21.log NA 0 NA <NA>
## 189 D.npnct22.log NA 0 NA <NA>
## 190 D.npnct23.log NA 0 NA <NA>
## 192 D.npnct25.log NA 0 NA <NA>
## 193 D.npnct26.log NA 0 NA <NA>
## 194 D.npnct27.log NA 0 NA <NA>
## 195 D.npnct28.log NA 0 NA <NA>
## 196 D.npnct29.log NA 0 NA <NA>
## 197 D.npnct30.log NA 0 NA <NA>
## 219 sold NA 1 NA <NA>
## freqRatio percentUnique zeroVar nzv myNearZV is.cor.y.abs.low
## 22 428.5000 0.3488372 FALSE TRUE TRUE FALSE
## 19 281.3333 1.1627907 FALSE TRUE TRUE FALSE
## 155 427.5000 0.4651163 FALSE TRUE TRUE FALSE
## 121 426.5000 0.5813953 FALSE TRUE TRUE FALSE
## 30 428.0000 0.4651163 FALSE TRUE TRUE TRUE
## 177 429.0000 0.2325581 FALSE TRUE TRUE TRUE
## 137 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 147 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 88 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 64 857.0000 0.4651163 FALSE TRUE TRUE TRUE
## 17 282.6667 0.8139535 FALSE TRUE TRUE TRUE
## 160 428.5000 0.3488372 FALSE TRUE TRUE TRUE
## 24 857.0000 0.4651163 FALSE TRUE TRUE TRUE
## 101 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 27 426.0000 0.9302326 FALSE TRUE TRUE TRUE
## 84 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 141 427.0000 0.5813953 FALSE TRUE TRUE TRUE
## 108 426.5000 0.6976744 FALSE TRUE TRUE TRUE
## 114 283.6667 0.8139535 FALSE TRUE TRUE TRUE
## 90 428.5000 0.3488372 FALSE TRUE TRUE TRUE
## 18 429.0000 0.2325581 FALSE TRUE TRUE TRUE
## 150 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 98 425.5000 1.0465116 FALSE TRUE TRUE TRUE
## 74 857.0000 0.4651163 FALSE TRUE TRUE TRUE
## 96 284.3333 0.5813953 FALSE TRUE TRUE TRUE
## 89 423.5000 1.2790698 FALSE TRUE TRUE TRUE
## 139 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 109 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 107 427.5000 0.5813953 FALSE TRUE TRUE TRUE
## 54 427.5000 0.5813953 FALSE TRUE TRUE TRUE
## 145 428.5000 0.3488372 FALSE TRUE TRUE TRUE
## 72 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 93 427.0000 0.6976744 FALSE TRUE TRUE TRUE
## 34 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 100 857.0000 0.4651163 FALSE TRUE TRUE TRUE
## 148 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 128 427.5000 0.5813953 FALSE TRUE TRUE TRUE
## 55 285.6667 0.2325581 FALSE TRUE TRUE TRUE
## 110 425.5000 0.8139535 FALSE TRUE TRUE TRUE
## 49 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 83 283.6667 0.9302326 FALSE TRUE TRUE TRUE
## 11 428.0000 0.4651163 FALSE TRUE TRUE TRUE
## 122 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 57 429.0000 0.2325581 FALSE TRUE TRUE TRUE
## 126 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 53 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 56 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 133 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 143 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 29 857.0000 0.4651163 FALSE TRUE TRUE TRUE
## 25 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 16 426.5000 0.6976744 FALSE TRUE TRUE TRUE
## 125 428.0000 0.4651163 FALSE TRUE TRUE TRUE
## 123 283.3333 0.6976744 FALSE TRUE TRUE TRUE
## 86 426.5000 0.8139535 FALSE TRUE TRUE TRUE
## 9 429.0000 0.2325581 FALSE TRUE TRUE TRUE
## 45 283.3333 0.9302326 FALSE TRUE TRUE TRUE
## 52 426.0000 0.8139535 FALSE TRUE TRUE TRUE
## 95 284.0000 0.8139535 FALSE TRUE TRUE TRUE
## 136 426.0000 0.9302326 FALSE TRUE TRUE TRUE
## 153 284.3333 0.5813953 FALSE TRUE TRUE TRUE
## 12 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 14 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 32 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 58 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 135 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 157 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 174 859.0000 0.2325581 FALSE TRUE TRUE TRUE
## 65 285.0000 0.4651163 FALSE TRUE TRUE TRUE
## 131 285.6667 0.2325581 FALSE TRUE TRUE TRUE
## 102 429.0000 0.2325581 FALSE TRUE TRUE TRUE
## 77 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 15 428.0000 0.3488372 FALSE TRUE TRUE TRUE
## 76 858.0000 0.3488372 FALSE TRUE TRUE TRUE
## 92 857.0000 0.4651163 FALSE TRUE TRUE FALSE
## 68 858.0000 0.3488372 FALSE TRUE TRUE FALSE
## 144 858.0000 0.3488372 FALSE TRUE TRUE FALSE
## 41 429.0000 0.2325581 FALSE TRUE TRUE FALSE
## 142 282.0000 0.9302326 FALSE TRUE TRUE FALSE
## 35 283.3333 0.9302326 FALSE TRUE TRUE FALSE
## 127 428.5000 0.3488372 FALSE TRUE TRUE FALSE
## 51 425.5000 0.8139535 FALSE TRUE TRUE FALSE
## 6 0.0000 0.1162791 TRUE TRUE TRUE NA
## 7 0.0000 0.1162791 TRUE TRUE TRUE NA
## 20 0.0000 0.1162791 TRUE TRUE TRUE NA
## 23 0.0000 0.1162791 TRUE TRUE TRUE NA
## 39 0.0000 0.1162791 TRUE TRUE TRUE NA
## 42 0.0000 0.1162791 TRUE TRUE TRUE NA
## 46 0.0000 0.1162791 TRUE TRUE TRUE NA
## 60 0.0000 0.1162791 TRUE TRUE TRUE NA
## 61 0.0000 0.1162791 TRUE TRUE TRUE NA
## 62 0.0000 0.1162791 TRUE TRUE TRUE NA
## 63 0.0000 0.1162791 TRUE TRUE TRUE NA
## 73 0.0000 0.1162791 TRUE TRUE TRUE NA
## 79 0.0000 0.1162791 TRUE TRUE TRUE NA
## 80 0.0000 0.1162791 TRUE TRUE TRUE NA
## 99 0.0000 0.1162791 TRUE TRUE TRUE NA
## 111 0.0000 0.1162791 TRUE TRUE TRUE NA
## 113 0.0000 0.1162791 TRUE TRUE TRUE NA
## 115 0.0000 0.1162791 TRUE TRUE TRUE NA
## 120 0.0000 0.1162791 TRUE TRUE TRUE NA
## 146 0.0000 0.1162791 TRUE TRUE TRUE NA
## 149 0.0000 0.1162791 TRUE TRUE TRUE NA
## 152 0.0000 0.1162791 TRUE TRUE TRUE NA
## 169 0.0000 0.1162791 TRUE TRUE TRUE NA
## 171 0.0000 0.1162791 TRUE TRUE TRUE NA
## 176 0.0000 0.1162791 TRUE TRUE TRUE NA
## 184 0.0000 0.1162791 TRUE TRUE TRUE NA
## 185 0.0000 0.1162791 TRUE TRUE TRUE NA
## 186 0.0000 0.1162791 TRUE TRUE TRUE NA
## 187 0.0000 0.1162791 TRUE TRUE TRUE NA
## 188 0.0000 0.1162791 TRUE TRUE TRUE NA
## 189 0.0000 0.1162791 TRUE TRUE TRUE NA
## 190 0.0000 0.1162791 TRUE TRUE TRUE NA
## 192 0.0000 0.1162791 TRUE TRUE TRUE NA
## 193 0.0000 0.1162791 TRUE TRUE TRUE NA
## 194 0.0000 0.1162791 TRUE TRUE TRUE NA
## 195 0.0000 0.1162791 TRUE TRUE TRUE NA
## 196 0.0000 0.1162791 TRUE TRUE TRUE NA
## 197 0.0000 0.1162791 TRUE TRUE TRUE NA
## 219 0.0000 0.1162791 TRUE TRUE TRUE NAglb_allobs_df <- glb_allobs_df[, setdiff(names(glb_allobs_df),
subset(glb_feats_df, myNearZV)$id)]
glb_trnobs_df <- subset(glb_allobs_df, .src == "Train")
glb_newobs_df <- subset(glb_allobs_df, .src == "Test")
if (!is.null(glb_interaction_only_features))
glb_feats_df[glb_feats_df$id %in% glb_interaction_only_features, "interaction.feat"] <-
names(glb_interaction_only_features) else
glb_feats_df$interaction.feat <- NA
mycheck_problem_data(glb_allobs_df, terminate = TRUE)## [1] "numeric data missing in : "
## named integer(0)
## [1] "numeric data w/ 0s in : "
## biddable startprice.log cellular.fctr
## 1444 31 1600
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1521 1521 1521
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1521 1521 1521
## D.T.condit D.T.use D.T.scratch
## 2158 2366 2371
## D.T.new D.T.good D.T.screen
## 2501 2460 2444
## D.T.great D.T.ipad D.T.work
## 2532 2425 2459
## D.T.excel D.T.box D.T.function.
## 2557 2547 2541
## D.T.item D.T.fulli D.T.cosmet
## 2528 2569 2540
## D.T.minor D.T.crack D.T.wear
## 2540 2580 2556
## D.T.perfect D.T.includ D.T.lock
## 2602 2574 2614
## D.T.case D.T.icloud D.T.see
## 2575 2601 2604
## D.T.light D.T.devic D.T.pleas
## 2576 2577 2590
## D.T.back D.T.dent D.T.sign
## 2580 2592 2580
## D.T.open D.T.will D.T.charger
## 2613 2618 2619
## D.T.come D.T.scuff D.T.corner
## 2602 2615 2612
## D.T.broken D.T.descript D.T.unit
## 2637 2624 2617
## D.T.show D.T.pictur D.T.may
## 2606 2624 2619
## D.T.normal D.T.top D.T.accessori
## 2626 2633 2629
## D.T.tear D.T.previous D.T.contact
## 2626 2634 2642
## D.T.refer D.T.problem D.T.non
## 2646 2651 2649
## D.T.handset D.T.least D.nwrds.log
## 2650 2653 1520
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds
## 1521 1521 1521
## D.nchrs.log D.nuppr.log D.ndgts.log
## 1520 1522 2427
## D.npnct01.log D.npnct03.log D.npnct05.log
## 2579 2614 2592
## D.npnct06.log D.npnct08.log D.npnct11.log
## 2554 2581 2301
## D.npnct12.log D.npnct13.log D.npnct14.log
## 2538 1932 2582
## D.npnct15.log D.npnct16.log D.npnct24.log
## 2637 2546 1520
## D.nstopwrds.log D.P.mini D.P.air
## 1664 2623 2636
## D.P.black D.P.white
## 2640 2647
## [1] "numeric data w/ Infs in : "
## named integer(0)
## [1] "numeric data w/ NaNs in : "
## named integer(0)
## [1] "string data missing in : "
## description condition cellular carrier color storage
## 1520 0 0 0 0 0
## productline .grpid prdline.my descr.my
## 0 NA 0 1520# glb_allobs_df %>% filter(is.na(Married.fctr)) %>% tbl_df()
# glb_allobs_df %>% count(Married.fctr)
# levels(glb_allobs_df$Married.fctr)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "partition.data.training", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 8 select.features 5 0 59.751 63.992 4.241
## 9 partition.data.training 6 0 63.993 NA NAStep 6.0: partition data training
if (all(is.na(glb_newobs_df[, glb_rsp_var]))) {
set.seed(glb_split_sample.seed)
OOB_size <- nrow(glb_newobs_df) * 1.1
if (is.null(glb_category_var)) {
require(caTools)
split <- sample.split(glb_trnobs_df[, glb_rsp_var_raw],
SplitRatio=OOB_size / nrow(glb_trnobs_df))
glb_OOBobs_df <- glb_trnobs_df[split ,]
glb_fitobs_df <- glb_trnobs_df[!split, ]
} else {
sample_vars <- c(glb_rsp_var_raw, glb_category_var)
rspvar_freq_df <- orderBy(reformulate(glb_rsp_var_raw),
mycreate_sqlxtab_df(glb_trnobs_df, glb_rsp_var_raw))
OOB_rspvar_size <- 1.0 * OOB_size * rspvar_freq_df$.n / sum(rspvar_freq_df$.n)
newobs_freq_df <- orderBy(reformulate(glb_category_var),
mycreate_sqlxtab_df(glb_newobs_df, glb_category_var))
trnobs_freq_df <- orderBy(reformulate(glb_category_var),
mycreate_sqlxtab_df(glb_trnobs_df, glb_category_var))
allobs_freq_df <- merge(newobs_freq_df, trnobs_freq_df, by=glb_category_var,
all=TRUE, sort=TRUE, suffixes=c(".Tst", ".Train"))
allobs_freq_df[is.na(allobs_freq_df)] <- 0
OOB_strata_size <- ceiling(
as.vector(matrix(allobs_freq_df$.n.Tst * 1.0 / sum(allobs_freq_df$.n.Tst)) %*%
matrix(OOB_rspvar_size, nrow=1)))
OOB_strata_size[OOB_strata_size == 0] <- 1
OOB_strata_df <- expand.grid(glb_rsp_var_raw=rspvar_freq_df[, glb_rsp_var_raw],
glb_category_var=allobs_freq_df[, glb_category_var])
names(OOB_strata_df) <- sample_vars
OOB_strata_df <- orderBy(reformulate(sample_vars), OOB_strata_df)
trnobs_univ_df <- orderBy(reformulate(sample_vars),
mycreate_sqlxtab_df(glb_trnobs_df, sample_vars))
trnobs_univ_df <- merge(trnobs_univ_df, OOB_strata_df, all=TRUE)
tmp_trnobs_df <- orderBy(reformulate(c(glb_rsp_var_raw, glb_category_var)),
glb_trnobs_df)
require(sampling)
split_strata <- strata(tmp_trnobs_df,
stratanames=c(glb_rsp_var_raw, glb_category_var),
size=OOB_strata_size[!is.na(trnobs_univ_df$.n)],
method="srswor")
glb_OOBobs_df <- getdata(tmp_trnobs_df, split_strata)[, names(glb_trnobs_df)]
glb_fitobs_df <- glb_trnobs_df[!glb_trnobs_df[, glb_id_var] %in%
glb_OOBobs_df[, glb_id_var], ]
}
} else {
print(sprintf("Newdata contains non-NA data for %s; setting OOB to Newdata",
glb_rsp_var))
glb_fitobs_df <- glb_trnobs_df; glb_OOBobs_df <- glb_newobs_df
}## [1] "Newdata contains non-NA data for startprice; setting OOB to Newdata"if (!is.null(glb_max_fitobs) && (nrow(glb_fitobs_df) > glb_max_fitobs)) {
warning("glb_fitobs_df restricted to glb_max_fitobs: ",
format(glb_max_fitobs, big.mark=","))
org_fitobs_df <- glb_fitobs_df
glb_fitobs_df <-
org_fitobs_df[split <- sample.split(org_fitobs_df[, glb_rsp_var_raw],
SplitRatio=glb_max_fitobs), ]
org_fitobs_df <- NULL
}
glb_allobs_df$.lcn <- ""; glb_trnobs_df$.lcn <- "";
glb_allobs_df[glb_allobs_df[, glb_id_var] %in%
glb_fitobs_df[, glb_id_var], ".lcn"] <- "Fit"
glb_trnobs_df[glb_trnobs_df[, glb_id_var] %in%
glb_fitobs_df[, glb_id_var], ".lcn"] <- "Fit"
glb_allobs_df[glb_allobs_df[, glb_id_var] %in%
glb_OOBobs_df[, glb_id_var], ".lcn"] <- "OOB"
glb_trnobs_df[glb_trnobs_df[, glb_id_var] %in%
glb_OOBobs_df[, glb_id_var], ".lcn"] <- "OOB"
dsp_class_dstrb <- function(obs_df, location_var, partition_var) {
xtab_df <- mycreate_xtab_df(obs_df, c(location_var, partition_var))
rownames(xtab_df) <- xtab_df[, location_var]
xtab_df <- xtab_df[, -grepl(location_var, names(xtab_df))]
print(xtab_df)
print(xtab_df / rowSums(xtab_df, na.rm=TRUE))
}
# Ensure proper splits by glb_rsp_var_raw & user-specified feature for OOB vs. new
if (!is.null(glb_category_var)) {
if (glb_is_classification)
dsp_class_dstrb(glb_allobs_df, ".lcn", glb_rsp_var_raw)
newobs_ctgry_df <- mycreate_sqlxtab_df(subset(glb_allobs_df, .src == "Test"),
glb_category_var)
OOBobs_ctgry_df <- mycreate_sqlxtab_df(subset(glb_allobs_df, .lcn == "OOB"),
glb_category_var)
glb_ctgry_df <- merge(newobs_ctgry_df, OOBobs_ctgry_df, by=glb_category_var
, all=TRUE, suffixes=c(".Tst", ".OOB"))
glb_ctgry_df$.freqRatio.Tst <- glb_ctgry_df$.n.Tst / sum(glb_ctgry_df$.n.Tst, na.rm=TRUE)
glb_ctgry_df$.freqRatio.OOB <- glb_ctgry_df$.n.OOB / sum(glb_ctgry_df$.n.OOB, na.rm=TRUE)
print(orderBy(~-.freqRatio.Tst-.freqRatio.OOB, glb_ctgry_df))
}## prdl.my.descr.fctr .n.Tst .n.OOB .freqRatio.Tst .freqRatio.OOB
## 9 iPadAir#0 213 213 0.11853088 0.11853088
## 8 iPad 3+#1 172 172 0.09571508 0.09571508
## 11 iPadmini 2+#0 159 159 0.08848080 0.08848080
## 13 iPadmini#0 159 159 0.08848080 0.08848080
## 6 iPad 2#1 155 155 0.08625487 0.08625487
## 5 iPad 2#0 140 140 0.07790762 0.07790762
## 10 iPadAir#1 127 127 0.07067334 0.07067334
## 1 Unknown#0 117 117 0.06510851 0.06510851
## 7 iPad 3+#0 117 117 0.06510851 0.06510851
## 14 iPadmini#1 101 101 0.05620479 0.05620479
## 3 iPad 1#0 99 99 0.05509182 0.05509182
## 4 iPad 1#1 90 90 0.05008347 0.05008347
## 2 Unknown#1 88 88 0.04897051 0.04897051
## 12 iPadmini 2+#1 60 60 0.03338898 0.03338898# Run this line by line
print("glb_feats_df:"); print(dim(glb_feats_df))## [1] "glb_feats_df:"## [1] 221 12sav_feats_df <- glb_feats_df
glb_feats_df <- sav_feats_df
glb_feats_df[, "rsp_var_raw"] <- FALSE
glb_feats_df[glb_feats_df$id == glb_rsp_var_raw, "rsp_var_raw"] <- TRUE
glb_feats_df$exclude.as.feat <- (glb_feats_df$exclude.as.feat == 1)
if (!is.null(glb_id_var) && glb_id_var != ".rownames")
glb_feats_df[glb_feats_df$id %in% glb_id_var, "id_var"] <- TRUE
add_feats_df <- data.frame(id=glb_rsp_var, exclude.as.feat=TRUE, rsp_var=TRUE)
row.names(add_feats_df) <- add_feats_df$id; print(add_feats_df)## id exclude.as.feat rsp_var
## startprice startprice TRUE TRUEglb_feats_df <- myrbind_df(glb_feats_df, add_feats_df)
if (glb_id_var != ".rownames")
print(subset(glb_feats_df, rsp_var_raw | rsp_var | id_var)) else
print(subset(glb_feats_df, rsp_var_raw | rsp_var)) ## id cor.y exclude.as.feat cor.y.abs cor.high.X
## 210 UniqueID -0.009667837 TRUE 0.009667837 <NA>
## startprice startprice NA TRUE NA <NA>
## freqRatio percentUnique zeroVar nzv myNearZV is.cor.y.abs.low
## 210 1 100 FALSE FALSE FALSE TRUE
## startprice NA NA NA NA NA NA
## interaction.feat rsp_var_raw id_var rsp_var
## 210 <NA> FALSE TRUE NA
## startprice <NA> NA NA TRUEprint("glb_feats_df vs. glb_allobs_df: "); ## [1] "glb_feats_df vs. glb_allobs_df: "print(setdiff(glb_feats_df$id, names(glb_allobs_df)))## [1] "D.T.bare" "D.T.appl" "D.T.two" "D.T.protector"
## [5] "D.T.cabl" "D.npnct10.log" "D.T.ship" "D.T.stylus"
## [9] "D.T.lightn" "D.T.free" "D.T.alway" "D.T.wifi"
## [13] "D.T.blemish" "D.T.name" "D.T.brand" "D.T.keyboard"
## [17] "D.T.sinc" "D.T.origin" "D.T.photo" "D.T.list"
## [21] "D.T.anoth" "D.T.tab" "D.T.mint" "D.T.hous"
## [25] "D.T.minim" "D.T.like" "D.T.side" "D.T.overal"
## [29] "D.T.order" "D.T.display" "D.T.sticker" "D.T.heavili"
## [33] "D.T.mark" "D.T.chip" "D.T.must" "D.T.super"
## [37] "D.T.right" "D.T.edg" "D.T.packag" "D.T.detail"
## [41] "D.T.kept" "D.T.X100" "D.T.qualiti" "D.T.esn"
## [45] "D.T.repeat." "D.T.disclaim" "D.T.els" "D.T.seal"
## [49] "D.T.speaker" "D.T.button" "D.T.bodi" "D.T.air"
## [53] "D.T.refurbish" "D.T.read" "D.T.left" "D.P.spacegray"
## [57] "D.T.damag" "D.T.ding" "D.T.mini" "D.T.shape"
## [61] "D.T.test" "D.T.X2016" "D.T.activ" "D.T.certifi"
## [65] "D.T.essenti" "D.T.seller" "D.T.upper" "D.npnct07.log"
## [69] "D.T.full" "D.T.scroll" "D.T.near" "D.T.imei"
## [73] "D.T.affect" "D.T.imag" "D.T.manufactur" "D.T.geek"
## [77] "D.T.squad" "D.T.corpor" "D.T.small" "D.T.clean"
## [81] "D.T.retail" "D.T.digit" "D.P.gold" "D.P.http"
## [85] "D.T.averag" "D.T.beetl" "D.T.contain" "D.T.correct"
## [89] "D.T.defens" "D.T.expect" "D.T.fair" "D.T.featur"
## [93] "D.T.final" "D.T.higher" "D.T.inspect" "D.T.intro"
## [97] "D.T.money" "D.T.passcod" "D.T.phone" "D.T.pic"
## [101] "D.T.profession" "D.T.stock" "D.T.sync" "D.T.technician"
## [105] "D.npnct02.log" "D.npnct04.log" "D.npnct09.log" "D.npnct17.log"
## [109] "D.npnct18.log" "D.npnct19.log" "D.npnct20.log" "D.npnct21.log"
## [113] "D.npnct22.log" "D.npnct23.log" "D.npnct25.log" "D.npnct26.log"
## [117] "D.npnct27.log" "D.npnct28.log" "D.npnct29.log" "D.npnct30.log"
## [121] "sold"print("glb_allobs_df vs. glb_feats_df: "); ## [1] "glb_allobs_df vs. glb_feats_df: "# Ensure these are only chr vars
print(setdiff(setdiff(names(glb_allobs_df), glb_feats_df$id),
myfind_chr_cols_df(glb_allobs_df)))## character(0)#print(setdiff(setdiff(names(glb_allobs_df), glb_exclude_vars_as_features),
# glb_feats_df$id))
print("glb_allobs_df: "); print(dim(glb_allobs_df))## [1] "glb_allobs_df: "## [1] 2657 113print("glb_trnobs_df: "); print(dim(glb_trnobs_df))## [1] "glb_trnobs_df: "## [1] 860 113print("glb_fitobs_df: "); print(dim(glb_fitobs_df))## [1] "glb_fitobs_df: "## [1] 860 112print("glb_OOBobs_df: "); print(dim(glb_OOBobs_df))## [1] "glb_OOBobs_df: "## [1] 1797 112print("glb_newobs_df: "); print(dim(glb_newobs_df))## [1] "glb_newobs_df: "## [1] 1797 112# # Does not handle NULL or length(glb_id_var) > 1
if (glb_save_envir)
save(glb_feats_df,
glb_allobs_df, #glb_trnobs_df, glb_fitobs_df, glb_OOBobs_df, glb_newobs_df,
file=paste0(glb_out_pfx, "blddfs_dsk.RData"))
# load(paste0(glb_out_pfx, "blddfs_dsk.RData"))
# if (!all.equal(tmp_feats_df, glb_feats_df))
# stop("glb_feats_df r/w not working")
# if (!all.equal(tmp_entity_df, glb_allobs_df))
# stop("glb_allobs_df r/w not working")
rm(split)## Warning in rm(split): object 'split' not foundglb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.models", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 9 partition.data.training 6 0 63.993 64.603 0.61
## 10 fit.models 7 0 64.603 NA NAStep 7.0: fit models
# load(paste0(glb_out_pfx, "dsk.RData"))
if (glb_is_classification && glb_is_binomial &&
(length(unique(glb_fitobs_df[, glb_rsp_var])) < 2))
stop("glb_fitobs_df$", glb_rsp_var, ": contains less than 2 unique values: ",
paste0(unique(glb_fitobs_df[, glb_rsp_var]), collapse=", "))
max_cor_y_x_vars <- orderBy(~ -cor.y.abs,
subset(glb_feats_df, (exclude.as.feat == 0) & !is.cor.y.abs.low &
is.na(cor.high.X)))[1:2, "id"]
# while(length(max_cor_y_x_vars) < 2) {
# max_cor_y_x_vars <- c(max_cor_y_x_vars, orderBy(~ -cor.y.abs,
# subset(glb_feats_df, (exclude.as.feat == 0) & !is.cor.y.abs.low))[3, "id"])
# }
if (!is.null(glb_Baseline_mdl_var)) {
if ((max_cor_y_x_vars[1] != glb_Baseline_mdl_var) &
(glb_feats_df[glb_feats_df$id == max_cor_y_x_vars[1], "cor.y.abs"] >
glb_feats_df[glb_feats_df$id == glb_Baseline_mdl_var, "cor.y.abs"]))
stop(max_cor_y_x_vars[1], " has a higher correlation with ", glb_rsp_var,
" than the Baseline var: ", glb_Baseline_mdl_var)
}
glb_model_type <- ifelse(glb_is_regression, "regression", "classification")
# Baseline
if (!is.null(glb_Baseline_mdl_var))
ret_lst <- myfit_mdl(model_id="Baseline",
model_method="mybaseln_classfr",
indep_vars_vctr=glb_Baseline_mdl_var,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df)
# Most Frequent Outcome "MFO" model: mean(y) for regression
# Not using caret's nullModel since model stats not avl
# Cannot use rpart for multinomial classification since it predicts non-MFO
ret_lst <- myfit_mdl(model_id="MFO",
model_method=ifelse(glb_is_regression, "lm", "myMFO_classfr"),
model_type=glb_model_type,
indep_vars_vctr=".rnorm",
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df)## [1] "fitting model: MFO.lm"
## [1] " indep_vars: .rnorm"
## Fitting parameter = none on full training set
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -144.00 -110.15 -32.19 62.36 541.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 127.457 4.469 28.518 <2e-16 ***
## .rnorm 5.670 4.305 1.317 0.188
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 131.1 on 858 degrees of freedom
## Multiple R-squared: 0.002018, Adjusted R-squared: 0.0008549
## F-statistic: 1.735 on 1 and 858 DF, p-value: 0.1881
##
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method feats max.nTuningRuns min.elapsedtime.everything
## 1 MFO.lm lm .rnorm 0 0.491
## min.elapsedtime.final max.R.sq.fit min.RMSE.fit max.R.sq.OOB
## 1 0.003 0.002018099 130.9124 -0.0004922847
## min.RMSE.OOB max.Adj.R.sq.fit
## 1 212.9927 0.0008549497if (glb_is_classification)
# "random" model - only for classification;
# none needed for regression since it is same as MFO
ret_lst <- myfit_mdl(model_id="Random", model_method="myrandom_classfr",
model_type=glb_model_type,
indep_vars_vctr=".rnorm",
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df)
# Any models that have tuning parameters has "better" results with cross-validation
# (except rf) & "different" results for different outcome metrics
# Max.cor.Y
# Check impact of cv
# rpart is not a good candidate since caret does not optimize cp (only tuning parameter of rpart) well
ret_lst <- myfit_mdl(model_id="Max.cor.Y.cv.0",
model_method="rpart",
model_type=glb_model_type,
indep_vars_vctr=max_cor_y_x_vars,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df)## [1] "fitting model: Max.cor.Y.cv.0.rpart"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"## Loading required package: rpart## Fitting cp = 0.229 on full training set## Loading required package: rpart.plot
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.229411 0 1
##
## Node number 1: 860 observations
## mean=127.4371, MSE=17172.71
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.4371 *
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method feats
## 1 Max.cor.Y.cv.0.rpart rpart biddable, prdl.my.descr.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 0 0.59 0.016
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB
## 1 0 131.0447 0 212.9402ret_lst <- myfit_mdl(model_id="Max.cor.Y.cv.0.cp.0",
model_method="rpart",
model_type=glb_model_type,
indep_vars_vctr=max_cor_y_x_vars,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=0,
tune_models_df=data.frame(parameter="cp", min=0.0, max=0.0, by=0.1))## [1] "fitting model: Max.cor.Y.cv.0.cp.0.rpart"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"
## Fitting cp = 0 on full training set
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 2.294110e-01 0 1.0000000
## 2 8.875699e-02 1 0.7705890
## 3 6.838998e-02 2 0.6818320
## 4 3.741554e-02 3 0.6134420
## 5 2.031253e-02 4 0.5760265
## 6 1.494112e-02 5 0.5557139
## 7 1.217650e-02 6 0.5407728
## 8 1.024606e-02 7 0.5285963
## 9 7.661189e-03 8 0.5183503
## 10 7.279599e-03 9 0.5106891
## 11 3.048477e-03 11 0.4961299
## 12 2.189077e-03 12 0.4930814
## 13 2.154305e-03 13 0.4908923
## 14 1.381752e-03 14 0.4887380
## 15 1.205213e-03 15 0.4873563
## 16 7.349782e-04 16 0.4861511
## 17 4.094867e-04 18 0.4846811
## 18 3.775470e-04 19 0.4842716
## 19 1.440645e-04 22 0.4831390
## 20 6.604810e-05 23 0.4829949
## 21 2.887779e-05 24 0.4829289
## 22 0.000000e+00 26 0.4828711
##
## Variable importance
## biddable prdl.my.descr.fctriPadAir#0
## 44 30
## prdl.my.descr.fctriPadmini 2+#0 prdl.my.descr.fctriPadAir#1
## 10 6
## prdl.my.descr.fctriPad 1#1 prdl.my.descr.fctriPad 3+#0
## 3 2
## prdl.my.descr.fctriPad 1#0 prdl.my.descr.fctriPadmini 2+#1
## 2 1
## prdl.my.descr.fctrUnknown#1
## 1
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.02778574, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02715487, (0 missing)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02072980, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01741560, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.01465991, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.01383661, (0 missing)
##
## Node number 3: 220 observations, complexity param=0.06838998
## mean=234.4917, MSE=19323.14
## left son=6 (193 obs) right son=7 (27 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.23759060, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.10937230, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.08918401, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.05774708, (0 missing)
## prdl.my.descr.fctriPadAir#1 < 0.5 to the left, improve=0.03792327, (0 missing)
##
## Node number 4: 572 observations, complexity param=0.0121765
## mean=75.03309, MSE=6729.045
## left son=8 (534 obs) right son=9 (38 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.04672078, (0 missing)
## prdl.my.descr.fctriPadAir#1 < 0.5 to the left, improve=0.03269752, (0 missing)
## prdl.my.descr.fctriPadmini 2+#1 < 0.5 to the left, improve=0.01830297, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.01822834, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01625210, (0 missing)
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## Node number 6: 193 observations, complexity param=0.03741554
## mean=209.1488, MSE=14800.89
## left son=12 (172 obs) right son=13 (21 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.19343900, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.11906070, (0 missing)
## prdl.my.descr.fctriPadAir#1 < 0.5 to the left, improve=0.08240029, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.05583681, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.01776533, (0 missing)
##
## Node number 7: 27 observations
## mean=415.6467, MSE=14240.73
##
## Node number 8: 534 observations, complexity param=0.01024606
## mean=70.30318, MSE=6000.66
## left son=16 (489 obs) right son=17 (45 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#1 < 0.5 to the left, improve=0.04722303, (0 missing)
## prdl.my.descr.fctriPadmini 2+#1 < 0.5 to the left, improve=0.02521644, (0 missing)
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.02385797, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.01634422, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01500557, (0 missing)
##
## Node number 9: 38 observations
## mean=141.5008, MSE=12232.44
##
## Node number 12: 172 observations, complexity param=0.02031253
## mean=190.4522, MSE=12215.29
## left son=24 (162 obs) right son=25 (10 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#1 < 0.5 to the left, improve=0.14278050, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.12399920, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.05130152, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.02838034, (0 missing)
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.01816717, (0 missing)
##
## Node number 13: 21 observations
## mean=362.2824, MSE=9665.2
##
## Node number 16: 489 observations, complexity param=0.007279599
## mean=65.19663, MSE=4667.158
## left son=32 (416 obs) right son=33 (73 obs)
## Primary splits:
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.046519550, (0 missing)
## prdl.my.descr.fctriPadmini 2+#1 < 0.5 to the left, improve=0.040686770, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.015796170, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.015152460, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.007690948, (0 missing)
##
## Node number 17: 45 observations
## mean=125.7944, MSE=17128.73
##
## Node number 24: 162 observations, complexity param=0.01494112
## mean=180.0762, MSE=10102.17
## left son=48 (15 obs) right son=49 (147 obs)
## Primary splits:
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.134831200, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.050890490, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.047403490, (0 missing)
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.034184240, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.006616016, (0 missing)
##
## Node number 25: 10 observations
## mean=358.543, MSE=16449.19
##
## Node number 32: 416 observations, complexity param=0.007279599
## mean=59.02416, MSE=4001.857
## left son=64 (401 obs) right son=65 (15 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini 2+#1 < 0.5 to the left, improve=0.065383810, (0 missing)
## prdl.my.descr.fctriPadmini#0 < 0.5 to the left, improve=0.014117830, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.012776980, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.012262310, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.004683694, (0 missing)
##
## Node number 33: 73 observations
## mean=100.3712, MSE=7004.1
##
## Node number 48: 15 observations
## mean=64.54067, MSE=671.3008
##
## Node number 49: 147 observations, complexity param=0.007661189
## mean=191.8656, MSE=9563.431
## left son=98 (14 obs) right son=99 (133 obs)
## Primary splits:
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.080482660, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.041263340, (0 missing)
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.026031500, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.015684190, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.009098235, (0 missing)
##
## Node number 64: 401 observations, complexity param=0.002189077
## mean=55.89564, MSE=3320.727
## left son=128 (342 obs) right son=129 (59 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini#0 < 0.5 to the left, improve=0.024278440, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.011734250, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.010511240, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.003213659, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.002490254, (0 missing)
##
## Node number 65: 15 observations
## mean=142.66, MSE=14954.12
##
## Node number 98: 14 observations
## mean=106.355, MSE=2075.257
##
## Node number 99: 133 observations, complexity param=0.003048477
## mean=200.8667, MSE=9500.95
## left son=198 (123 obs) right son=199 (10 obs)
## Primary splits:
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.035628830, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.029186010, (0 missing)
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.019447870, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.017297670, (0 missing)
## prdl.my.descr.fctriPadmini#0 < 0.5 to the right, improve=0.002651648, (0 missing)
##
## Node number 128: 342 observations, complexity param=0.0007349782
## mean=52.16623, MSE=3053.869
## left son=256 (41 obs) right son=257 (301 obs)
## Primary splits:
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.009727296, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.007716344, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.006396854, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.004741303, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the left, improve=0.003003166, (0 missing)
##
## Node number 129: 59 observations
## mean=77.51356, MSE=4319.638
##
## Node number 198: 123 observations, complexity param=0.002154305
## mean=195.6207, MSE=8835.09
## left son=396 (109 obs) right son=397 (14 obs)
## Primary splits:
## prdl.my.descr.fctriPad 3+#0 < 0.5 to the left, improve=0.0292771200, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.0261230800, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.0151941300, (0 missing)
## prdl.my.descr.fctriPadmini#0 < 0.5 to the right, improve=0.0009820626, (0 missing)
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=0.0007531635, (0 missing)
##
## Node number 199: 10 observations
## mean=265.393, MSE=13188.87
##
## Node number 256: 41 observations
## mean=37.39854, MSE=2359.638
##
## Node number 257: 301 observations, complexity param=0.0007349782
## mean=54.17777, MSE=3114.68
## left son=514 (55 obs) right son=515 (246 obs)
## Primary splits:
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.012319410, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.005157718, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.003927438, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.003106264, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the left, improve=0.001563345, (0 missing)
##
## Node number 396: 109 observations, complexity param=0.001381752
## mean=189.8567, MSE=9354.026
## left son=792 (19 obs) right son=793 (90 obs)
## Primary splits:
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=2.001439e-02, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=1.130044e-02, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=3.178276e-03, (0 missing)
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=3.238973e-05, (0 missing)
## prdl.my.descr.fctriPadmini#0 < 0.5 to the right, improve=2.036456e-05, (0 missing)
##
## Node number 397: 14 observations
## mean=240.4971, MSE=2522.239
##
## Node number 514: 55 observations
## mean=41.07727, MSE=644.3032
##
## Node number 515: 246 observations, complexity param=0.0004094867
## mean=57.10675, MSE=3620.051
## left son=1030 (48 obs) right son=1031 (198 obs)
## Primary splits:
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.0067909010, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.0029895670, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.0024275730, (0 missing)
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=0.0008901567, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the left, improve=0.0001476270, (0 missing)
##
## Node number 792: 19 observations
## mean=160.0774, MSE=2255.742
##
## Node number 793: 90 observations, complexity param=0.001205213
## mean=196.1434, MSE=10625.81
## left son=1586 (13 obs) right son=1587 (77 obs)
## Primary splits:
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.0186121400, (0 missing)
## prdl.my.descr.fctriPadmini#0 < 0.5 to the right, improve=0.0013967940, (0 missing)
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=0.0010333630, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.0006320308, (0 missing)
##
## Node number 1030: 48 observations
## mean=47.03667, MSE=2396.701
##
## Node number 1031: 198 observations, complexity param=0.0001440645
## mean=59.54798, MSE=3886.077
## left son=2062 (40 obs) right son=2063 (158 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=0.002765143, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.001732492, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.001558988, (0 missing)
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.000204439, (0 missing)
##
## Node number 1586: 13 observations
## mean=161.9177, MSE=1917.82
##
## Node number 1587: 77 observations, complexity param=0.000377547
## mean=201.9218, MSE=11864.84
## left son=3174 (20 obs) right son=3175 (57 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini#0 < 0.5 to the right, improve=4.986916e-03, (0 missing)
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=3.412922e-03, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the right, improve=5.036565e-05, (0 missing)
##
## Node number 2062: 40 observations
## mean=53.033, MSE=2766.875
##
## Node number 2063: 158 observations, complexity param=6.60481e-05
## mean=61.19734, MSE=4155.953
## left son=4126 (67 obs) right son=4127 (91 obs)
## Primary splits:
## prdl.my.descr.fctriPad 2#0 < 0.5 to the right, improve=0.001485490, (0 missing)
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.001083074, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.001055100, (0 missing)
## Surrogate splits:
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, agree=0.652, adj=0.179, (0 split)
##
## Node number 3174: 20 observations
## mean=188.936, MSE=4797.719
##
## Node number 3175: 57 observations, complexity param=0.000377547
## mean=206.4782, MSE=14264.6
## left son=6350 (14 obs) right son=6351 (43 obs)
## Primary splits:
## prdl.my.descr.fctriPadmini#1 < 0.5 to the right, improve=0.007440699, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the right, improve=0.001471484, (0 missing)
##
## Node number 4126: 67 observations
## mean=58.30164, MSE=2303.367
##
## Node number 4127: 91 observations, complexity param=2.887779e-05
## mean=63.32934, MSE=5509.227
## left son=8254 (68 obs) right son=8255 (23 obs)
## Primary splits:
## prdl.my.descr.fctrUnknown#1 < 0.5 to the left, improve=0.0005555186, (0 missing)
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.0003526631, (0 missing)
##
## Node number 6350: 14 observations
## mean=188.4229, MSE=7185.984
##
## Node number 6351: 43 observations, complexity param=0.000377547
## mean=212.3567, MSE=16428.57
## left son=12702 (22 obs) right son=12703 (21 obs)
## Primary splits:
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the right, improve=0.00866547, (0 missing)
## Surrogate splits:
## prdl.my.descr.fctriPadmini 2+#1 < 0.5 to the left, agree=0.651, adj=0.286, (0 split)
##
## Node number 8254: 68 observations, complexity param=2.887779e-05
## mean=62.31191, MSE=4949.625
## left son=16508 (32 obs) right son=16509 (36 obs)
## Primary splits:
## prdl.my.descr.fctriPad 3+#1 < 0.5 to the left, improve=0.001706789, (0 missing)
##
## Node number 8255: 23 observations
## mean=66.33739, MSE=7151.591
##
## Node number 12702: 22 observations
## mean=200.6995, MSE=5758.888
##
## Node number 12703: 21 observations
## mean=224.569, MSE=27314.82
##
## Node number 16508: 32 observations
## mean=59.22906, MSE=5291.075
##
## Node number 16509: 36 observations
## mean=65.05222, MSE=4630.158
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530.00 127.43710
## 2) biddable>=0.5 640 7129375.00 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014.00 75.03309
## 8) prdl.my.descr.fctriPadmini 2+#0< 0.5 534 3204352.00 70.30318
## 16) prdl.my.descr.fctriPadAir#1< 0.5 489 2282240.00 65.19663
## 32) prdl.my.descr.fctriPad 3+#0< 0.5 416 1664772.00 59.02416
## 64) prdl.my.descr.fctriPadmini 2+#1< 0.5 401 1331611.00 55.89564
## 128) prdl.my.descr.fctriPadmini#0< 0.5 342 1044423.00 52.16623
## 256) prdl.my.descr.fctriPad 1#1>=0.5 41 96745.16 37.39854 *
## 257) prdl.my.descr.fctriPad 1#1< 0.5 301 937518.80 54.17777
## 514) prdl.my.descr.fctriPad 1#0>=0.5 55 35436.68 41.07727 *
## 515) prdl.my.descr.fctriPad 1#0< 0.5 246 890532.40 57.10675
## 1030) prdl.my.descr.fctriPad 2#1>=0.5 48 115041.60 47.03667 *
## 1031) prdl.my.descr.fctriPad 2#1< 0.5 198 769443.30 59.54798
## 2062) prdl.my.descr.fctriPadmini#1>=0.5 40 110675.00 53.03300 *
## 2063) prdl.my.descr.fctriPadmini#1< 0.5 158 656640.60 61.19734
## 4126) prdl.my.descr.fctriPad 2#0>=0.5 67 154325.60 58.30164 *
## 4127) prdl.my.descr.fctriPad 2#0< 0.5 91 501339.60 63.32934
## 8254) prdl.my.descr.fctrUnknown#1< 0.5 68 336574.50 62.31191
## 16508) prdl.my.descr.fctriPad 3+#1< 0.5 32 169314.40 59.22906 *
## 16509) prdl.my.descr.fctriPad 3+#1>=0.5 36 166685.70 65.05222 *
## 8255) prdl.my.descr.fctrUnknown#1>=0.5 23 164486.60 66.33739 *
## 129) prdl.my.descr.fctriPadmini#0>=0.5 59 254858.70 77.51356 *
## 65) prdl.my.descr.fctriPadmini 2+#1>=0.5 15 224311.70 142.66000 *
## 33) prdl.my.descr.fctriPad 3+#0>=0.5 73 511299.30 100.37120 *
## 17) prdl.my.descr.fctriPadAir#1>=0.5 45 770792.70 125.79440 *
## 9) prdl.my.descr.fctriPadmini 2+#0>=0.5 38 464832.60 141.50080 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551.00 221.89440 *
## 3) biddable< 0.5 220 4251091.00 234.49170
## 6) prdl.my.descr.fctriPadAir#0< 0.5 193 2856572.00 209.14880
## 12) prdl.my.descr.fctriPadmini 2+#0< 0.5 172 2101030.00 190.45220
## 24) prdl.my.descr.fctriPadAir#1< 0.5 162 1636552.00 180.07620
## 48) prdl.my.descr.fctriPad 1#1>=0.5 15 10069.51 64.54067 *
## 49) prdl.my.descr.fctriPad 1#1< 0.5 147 1405824.00 191.86560
## 98) prdl.my.descr.fctriPad 1#0>=0.5 14 29053.60 106.35500 *
## 99) prdl.my.descr.fctriPad 1#0< 0.5 133 1263626.00 200.86670
## 198) prdl.my.descr.fctrUnknown#1< 0.5 123 1086716.00 195.62070
## 396) prdl.my.descr.fctriPad 3+#0< 0.5 109 1019589.00 189.85670
## 792) prdl.my.descr.fctriPad 2#1>=0.5 19 42859.10 160.07740 *
## 793) prdl.my.descr.fctriPad 2#1< 0.5 90 956323.30 196.14340
## 1586) prdl.my.descr.fctriPad 2#0>=0.5 13 24931.65 161.91770 *
## 1587) prdl.my.descr.fctriPad 2#0< 0.5 77 913592.40 201.92180
## 3174) prdl.my.descr.fctriPadmini#0>=0.5 20 95954.37 188.93600 *
## 3175) prdl.my.descr.fctriPadmini#0< 0.5 57 813082.00 206.47820
## 6350) prdl.my.descr.fctriPadmini#1>=0.5 14 100603.80 188.42290 *
## 6351) prdl.my.descr.fctriPadmini#1< 0.5 43 706428.40 212.35670
## 12702) prdl.my.descr.fctriPad 3+#1>=0.5 22 126695.50 200.69950 *
## 12703) prdl.my.descr.fctriPad 3+#1< 0.5 21 573611.30 224.56900 *
## 397) prdl.my.descr.fctriPad 3+#0>=0.5 14 35311.34 240.49710 *
## 199) prdl.my.descr.fctrUnknown#1>=0.5 10 131888.70 265.39300 *
## 25) prdl.my.descr.fctriPadAir#1>=0.5 10 164491.90 358.54300 *
## 13) prdl.my.descr.fctriPadmini 2+#0>=0.5 21 202969.20 362.28240 *
## 7) prdl.my.descr.fctriPadAir#0>=0.5 27 384499.60 415.64670 *
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method feats
## 1 Max.cor.Y.cv.0.cp.0.rpart rpart biddable, prdl.my.descr.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 0 0.475 0.013
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB
## 1 0.5171289 91.06155 0.5481091 143.1445if (glb_is_regression || glb_is_binomial) # For multinomials this model will be run next by default
ret_lst <- myfit_mdl(model_id="Max.cor.Y",
model_method="rpart",
model_type=glb_model_type,
indep_vars_vctr=max_cor_y_x_vars,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)## [1] "fitting model: Max.cor.Y.rpart"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = "Max.cor.Y", model_method = "rpart",
## model_type = glb_model_type, : model's bestTune found at an extreme of
## tuneGrid for parameter: cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.000000
## 2 0.08875699 1 0.770589
## 3 0.06838998 2 0.681832
##
## Variable importance
## biddable prdl.my.descr.fctriPadAir#0
## 72 28
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.02778574, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02715487, (0 missing)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02072980, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01741560, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.01465991, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.01383661, (0 missing)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 572 observations
## mean=75.03309, MSE=6729.045
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014 75.03309 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551 221.89440 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method feats
## 1 Max.cor.Y.rpart rpart biddable, prdl.my.descr.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 1.132 0.017
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.318168 107.5255 0.3374985 173.321 0.342084
## min.RMSESD.fit max.RsquaredSD.fit
## 1 6.490951 0.06028494# Used to compare vs. Interactions.High.cor.Y and/or Max.cor.Y.TmSrs
ret_lst <- myfit_mdl(model_id="Max.cor.Y",
model_method=ifelse(glb_is_regression, "lm",
ifelse(glb_is_binomial, "glm", "rpart")),
model_type=glb_model_type,
indep_vars_vctr=max_cor_y_x_vars,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)## [1] "fitting model: Max.cor.Y.lm"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -236.26 -51.92 -3.23 48.09 412.75
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 198.882 14.721 13.510 < 2e-16 ***
## biddable -139.723 7.488 -18.659 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#1` 25.157 21.503 1.170 0.242345
## `prdl.my.descr.fctriPad 1#0` -33.187 17.927 -1.851 0.064487 .
## `prdl.my.descr.fctriPad 1#1` -51.917 18.733 -2.771 0.005705 **
## `prdl.my.descr.fctriPad 2#0` -6.725 17.440 -0.386 0.699859
## `prdl.my.descr.fctriPad 2#1` -19.690 18.016 -1.093 0.274751
## `prdl.my.descr.fctriPad 3+#0` 41.276 17.180 2.403 0.016495 *
## `prdl.my.descr.fctriPad 3+#1` 4.347 18.587 0.234 0.815154
## `prdl.my.descr.fctriPadAir#0` 178.090 16.886 10.547 < 2e-16 ***
## `prdl.my.descr.fctriPadAir#1` 83.548 18.835 4.436 1.04e-05 ***
## `prdl.my.descr.fctriPadmini 2+#0` 111.192 18.513 6.006 2.82e-09 ***
## `prdl.my.descr.fctriPadmini 2+#1` 85.435 24.852 3.438 0.000615 ***
## `prdl.my.descr.fctriPadmini#0` 11.189 17.448 0.641 0.521508
## `prdl.my.descr.fctriPadmini#1` -7.250 18.892 -0.384 0.701252
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.68 on 845 degrees of freedom
## Multiple R-squared: 0.4871, Adjusted R-squared: 0.4786
## F-statistic: 57.33 on 14 and 845 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method feats max.nTuningRuns
## 1 Max.cor.Y.lm lm biddable, prdl.my.descr.fctr 1
## min.elapsedtime.everything min.elapsedtime.final max.R.sq.fit
## 1 0.988 0.007 0.4871264
## min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Adj.R.sq.fit max.Rsquared.fit
## 1 95.53887 0.5247269 146.8011 0.478629 0.4720972
## min.RMSESD.fit max.RsquaredSD.fit
## 1 4.53928 0.052658if (!is.null(glb_date_vars) &&
(sum(grepl(paste(glb_date_vars, "\\.day\\.minutes\\.poly\\.", sep=""),
names(glb_allobs_df))) > 0)) {
# ret_lst <- myfit_mdl(model_id="Max.cor.Y.TmSrs.poly1",
# model_method=ifelse(glb_is_regression, "lm",
# ifelse(glb_is_binomial, "glm", "rpart")),
# model_type=glb_model_type,
# indep_vars_vctr=c(max_cor_y_x_vars, paste0(glb_date_vars, ".day.minutes")),
# rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
# fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
# n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)
#
ret_lst <- myfit_mdl(model_id="Max.cor.Y.TmSrs.poly",
model_method=ifelse(glb_is_regression, "lm",
ifelse(glb_is_binomial, "glm", "rpart")),
model_type=glb_model_type,
indep_vars_vctr=c(max_cor_y_x_vars,
grep(paste(glb_date_vars, "\\.day\\.minutes\\.poly\\.", sep=""),
names(glb_allobs_df), value=TRUE)),
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)
}
# Interactions.High.cor.Y
if (length(int_feats <- setdiff(unique(glb_feats_df$cor.high.X), NA)) > 0) {
# lm & glm handle interaction terms; rpart & rf do not
if (glb_is_regression || glb_is_binomial) {
indep_vars_vctr <-
c(max_cor_y_x_vars, paste(max_cor_y_x_vars[1], int_feats, sep=":"))
} else { indep_vars_vctr <- union(max_cor_y_x_vars, int_feats) }
ret_lst <- myfit_mdl(model_id="Interact.High.cor.Y",
model_method=ifelse(glb_is_regression, "lm",
ifelse(glb_is_binomial, "glm", "rpart")),
model_type=glb_model_type,
indep_vars_vctr,
glb_rsp_var, glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)
} ## [1] "fitting model: Interact.High.cor.Y.lm"
## [1] " indep_vars: biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -234.72 -52.71 -1.76 48.43 414.29
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 202.5649 15.3393 13.206 < 2e-16
## biddable -207.6485 66.2336 -3.135 0.00178
## `prdl.my.descr.fctrUnknown#1` 23.2773 24.0233 0.969 0.33285
## `prdl.my.descr.fctriPad 1#0` -32.5585 17.9166 -1.817 0.06954
## `prdl.my.descr.fctriPad 1#1` -62.9773 21.6978 -2.902 0.00380
## `prdl.my.descr.fctriPad 2#0` -5.8782 17.4433 -0.337 0.73621
## `prdl.my.descr.fctriPad 2#1` -30.3699 20.9168 -1.452 0.14689
## `prdl.my.descr.fctriPad 3+#0` 42.1321 17.1851 2.452 0.01442
## `prdl.my.descr.fctriPad 3+#1` -0.7757 21.0353 -0.037 0.97059
## `prdl.my.descr.fctriPadAir#0` 178.2794 16.8629 10.572 < 2e-16
## `prdl.my.descr.fctriPadAir#1` 72.0567 22.1607 3.252 0.00119
## `prdl.my.descr.fctriPadmini 2+#0` 110.9935 18.4872 6.004 2.87e-09
## `prdl.my.descr.fctriPadmini 2+#1` 75.8002 27.0366 2.804 0.00517
## `prdl.my.descr.fctriPadmini#0` 11.5460 17.4275 0.663 0.50782
## `prdl.my.descr.fctriPadmini#1` -19.8885 21.8545 -0.910 0.36306
## `biddable:D.TfIdf.sum.post.stop` -46.2879 22.0721 -2.097 0.03628
## `biddable:D.npnct03.log` 12.2940 31.2464 0.393 0.69408
## `biddable:D.terms.n.post.stem` -11.6299 9.5207 -1.222 0.22223
## `biddable:D.nuppr.log` -26.3411 38.6319 -0.682 0.49552
## `biddable:D.nwrds.unq.log` 138.9210 95.3717 1.457 0.14559
## `biddable:D.npnct24.log` -54.9580 128.5127 -0.428 0.66902
## `biddable:D.TfIdf.sum.post.stem` 47.9547 22.9602 2.089 0.03705
## `biddable:D.ratio.nstopwrds.nwrds` 62.5173 65.4944 0.955 0.34008
##
## (Intercept) ***
## biddable **
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0` .
## `prdl.my.descr.fctriPad 1#1` **
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0` *
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0` ***
## `prdl.my.descr.fctriPadAir#1` **
## `prdl.my.descr.fctriPadmini 2+#0` ***
## `prdl.my.descr.fctriPadmini 2+#1` **
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## `biddable:D.TfIdf.sum.post.stop` *
## `biddable:D.npnct03.log`
## `biddable:D.terms.n.post.stem`
## `biddable:D.nuppr.log`
## `biddable:D.nwrds.unq.log`
## `biddable:D.npnct24.log`
## `biddable:D.TfIdf.sum.post.stem` *
## `biddable:D.ratio.nstopwrds.nwrds`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.54 on 837 degrees of freedom
## Multiple R-squared: 0.4935, Adjusted R-squared: 0.4802
## F-statistic: 37.06 on 22 and 837 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 Interact.High.cor.Y.lm lm
## feats
## 1 biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.009 0.01
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Adj.R.sq.fit
## 1 0.4934704 95.59187 0.5232939 147.0223 0.4801566
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.4722355 4.645641 0.05926343# Low.cor.X
# if (glb_is_classification && glb_is_binomial)
# indep_vars_vctr <- subset(glb_feats_df, is.na(cor.high.X) &
# is.ConditionalX.y &
# (exclude.as.feat != 1))[, "id"] else
indep_vars_vctr <- subset(glb_feats_df, is.na(cor.high.X) & !myNearZV &
(exclude.as.feat != 1))[, "id"]
myadjust_interaction_feats <- function(vars_vctr) {
for (feat in subset(glb_feats_df, !is.na(interaction.feat))$id)
if (feat %in% vars_vctr)
vars_vctr <- union(setdiff(vars_vctr, feat),
paste0(glb_feats_df[glb_feats_df$id == feat, "interaction.feat"], ":",
feat))
return(vars_vctr)
}
indep_vars_vctr <- myadjust_interaction_feats(indep_vars_vctr)
ret_lst <- myfit_mdl(model_id="Low.cor.X",
model_method=ifelse(glb_is_regression, "lm",
ifelse(glb_is_binomial, "glm", "rpart")),
indep_vars_vctr=indep_vars_vctr,
model_type=glb_model_type,
glb_rsp_var, glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=NULL)## [1] "fitting model: Low.cor.X.lm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -292.94 -44.85 -1.39 48.06 349.79
##
## Coefficients: (56 not defined because of singularities)
## Estimate Std. Error
## (Intercept) 2.106e+02 2.080e+02
## `prdl.my.descr.fctrUnknown#1` 6.363e+01 3.803e+01
## `prdl.my.descr.fctriPad 1#0` -5.308e+01 1.974e+01
## `prdl.my.descr.fctriPad 1#1` -6.190e+01 4.084e+01
## `prdl.my.descr.fctriPad 2#0` -1.198e+01 1.912e+01
## `prdl.my.descr.fctriPad 2#1` -1.812e+01 3.836e+01
## `prdl.my.descr.fctriPad 3+#0` 2.234e+01 1.874e+01
## `prdl.my.descr.fctriPad 3+#1` 1.325e+01 4.044e+01
## `prdl.my.descr.fctriPadAir#0` 1.225e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 6.537e+01 3.913e+01
## `prdl.my.descr.fctriPadmini 2+#0` 5.607e+01 1.990e+01
## `prdl.my.descr.fctriPadmini 2+#1` 5.616e+01 4.729e+01
## `prdl.my.descr.fctriPadmini#0` 5.802e+00 1.871e+01
## `prdl.my.descr.fctriPadmini#1` -6.342e+00 4.490e+01
## `condition.fctrFor parts or not working` -5.127e+01 1.276e+01
## `condition.fctrManufacturer refurbished` -1.151e+01 2.408e+01
## condition.fctrNew 6.401e+01 1.201e+01
## `condition.fctrNew other (see details)` 5.791e+01 1.672e+01
## `condition.fctrSeller refurbished` -2.389e+01 1.704e+01
## D.TfIdf.sum.stem.stop.Ratio 1.950e+02 1.154e+02
## color.fctrGold -6.417e+00 2.218e+01
## `color.fctrSpace Gray` 1.330e+01 1.242e+01
## color.fctrUnknown -6.912e+00 8.434e+00
## color.fctrWhite 1.759e+01 9.419e+00
## carrier.fctrNone 3.945e+01 2.372e+01
## carrier.fctrOther 1.028e+02 5.907e+01
## carrier.fctrSprint -3.218e+01 2.725e+01
## `carrier.fctrT-Mobile` -6.811e-01 3.339e+01
## carrier.fctrUnknown 1.387e+01 1.653e+01
## carrier.fctrVerizon 5.904e+00 1.478e+01
## .rnorm -4.499e-01 2.978e+00
## storage.fctr16 -1.389e+02 1.980e+01
## storage.fctr32 -1.296e+02 2.066e+01
## storage.fctr64 -8.934e+01 2.038e+01
## storage.fctrUnknown -9.989e+01 2.706e+01
## D.npnct14.log -5.742e-01 3.884e+01
## cellular.fctr1 3.832e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio -9.706e+01 1.794e+02
## D.ndgts.log 3.900e+00 1.537e+01
## idseq.my -1.441e-02 7.582e-03
## D.npnct08.log 7.407e+00 2.370e+01
## D.npnct05.log -7.306e+01 8.062e+01
## D.npnct15.log -2.914e+01 3.267e+01
## D.npnct01.log 1.119e+01 2.205e+01
## D.npnct16.log 5.082e+01 3.385e+01
## D.npnct12.log 4.296e+00 2.431e+01
## D.npnct03.log -2.545e+01 4.901e+01
## D.npnct11.log -1.701e+01 1.265e+01
## D.npnct13.log -8.586e+00 1.168e+01
## D.TfIdf.sum.post.stop 5.910e+00 4.111e+00
## D.ratio.sum.TfIdf.nwrds -3.209e+01 7.876e+00
## biddable -1.393e+02 7.539e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -1.217e+01 4.044e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -2.152e+00 3.220e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -2.082e+00 2.999e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.004e+01 3.132e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.161e+00 2.748e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -5.228e+00 4.267e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -7.811e+00 4.487e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.600e+00 4.710e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.846e+01 4.136e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 4.499e+00 4.402e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.549e+01 4.232e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -4.837e+01 4.290e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 6.611e+01 9.355e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -7.907e+00 4.534e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.233e+02 4.471e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 3.369e+01 3.984e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 2.161e+00 3.257e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.301e+01 7.139e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -7.956e+01 4.968e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.261e+01 3.956e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 3.398e+01 4.226e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.400e+01 3.775e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.323e+01 3.395e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 5.743e+01 7.107e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.761e+01 4.397e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 7.290e-01 4.382e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -9.083e+00 4.492e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -4.439e+00 4.176e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.955e+01 6.155e+01
## t value Pr(>|t|)
## (Intercept) 1.012 0.311648
## `prdl.my.descr.fctrUnknown#1` 1.673 0.094705 .
## `prdl.my.descr.fctriPad 1#0` -2.689 0.007315 **
## `prdl.my.descr.fctriPad 1#1` -1.516 0.130022
## `prdl.my.descr.fctriPad 2#0` -0.627 0.531083
## `prdl.my.descr.fctriPad 2#1` -0.472 0.636867
## `prdl.my.descr.fctriPad 3+#0` 1.192 0.233724
## `prdl.my.descr.fctriPad 3+#1` 0.328 0.743304
## `prdl.my.descr.fctriPadAir#0` 6.513 1.32e-10 ***
## `prdl.my.descr.fctriPadAir#1` 1.671 0.095191 .
## `prdl.my.descr.fctriPadmini 2+#0` 2.818 0.004952 **
## `prdl.my.descr.fctriPadmini 2+#1` 1.188 0.235336
## `prdl.my.descr.fctriPadmini#0` 0.310 0.756624
## `prdl.my.descr.fctriPadmini#1` -0.141 0.887695
## `condition.fctrFor parts or not working` -4.019 6.41e-05 ***
## `condition.fctrManufacturer refurbished` -0.478 0.632679
## condition.fctrNew 5.330 1.29e-07 ***
## `condition.fctrNew other (see details)` 3.463 0.000563 ***
## `condition.fctrSeller refurbished` -1.402 0.161285
## D.TfIdf.sum.stem.stop.Ratio 1.690 0.091428 .
## color.fctrGold -0.289 0.772385
## `color.fctrSpace Gray` 1.071 0.284542
## color.fctrUnknown -0.819 0.412758
## color.fctrWhite 1.867 0.062227 .
## carrier.fctrNone 1.663 0.096659 .
## carrier.fctrOther 1.741 0.082084 .
## carrier.fctrSprint -1.181 0.238073
## `carrier.fctrT-Mobile` -0.020 0.983732
## carrier.fctrUnknown 0.839 0.401698
## carrier.fctrVerizon 0.400 0.689606
## .rnorm -0.151 0.879973
## storage.fctr16 -7.014 5.04e-12 ***
## storage.fctr32 -6.275 5.79e-10 ***
## storage.fctr64 -4.384 1.32e-05 ***
## storage.fctrUnknown -3.691 0.000239 ***
## D.npnct14.log -0.015 0.988209
## cellular.fctr1 1.771 0.077018 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio -0.541 0.588564
## D.ndgts.log 0.254 0.799710
## idseq.my -1.901 0.057685 .
## D.npnct08.log 0.313 0.754734
## D.npnct05.log -0.906 0.365113
## D.npnct15.log -0.892 0.372737
## D.npnct01.log 0.507 0.612042
## D.npnct16.log 1.501 0.133669
## D.npnct12.log 0.177 0.859785
## D.npnct03.log -0.519 0.603703
## D.npnct11.log -1.345 0.179157
## D.npnct13.log -0.735 0.462342
## D.TfIdf.sum.post.stop 1.438 0.150970
## D.ratio.sum.TfIdf.nwrds -4.074 5.09e-05 ***
## biddable -18.482 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.301 0.763567
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.067 0.946731
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.069 0.944677
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.321 0.748613
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -0.042 0.966299
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -0.123 0.902526
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.174 0.861852
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.034 0.972903
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.688 0.491674
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.102 0.918615
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.075 0.282779
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.127 0.259963
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.707 0.479940
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.174 0.861597
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.759 0.005942 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.846 0.397996
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.066 0.947111
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.023 0.306739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.601 0.109674
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.319 0.749891
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.804 0.421570
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.636 0.525080
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.684 0.493930
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.808 0.419256
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.855 0.392621
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.017 0.986732
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.202 0.839824
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.106 0.915383
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.480 0.631246
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.56 on 779 degrees of freedom
## Multiple R-squared: 0.6139, Adjusted R-squared: 0.5742
## F-statistic: 15.48 on 80 and 779 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## [1] " calling mypredict_mdl for OOB:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## model_id model_method
## 1 Low.cor.X.lm lm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.319 0.066
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Adj.R.sq.fit
## 1 0.6138568 91.4419 0.6099577 132.9884 0.5742015
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.5166192 3.515068 0.07717565rm(ret_lst)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.models", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 10 fit.models 7 0 64.603 81.476 16.873
## 11 fit.models 7 1 81.476 NA NAfit.models_1_chunk_df <- myadd_chunk(NULL, "fit.models_1_bgn")## label step_major step_minor bgn end elapsed
## 1 fit.models_1_bgn 1 0 84.127 NA NA# Options:
# 1. rpart & rf manual tuning
# 2. rf without pca (default: with pca)
#stop(here"); sav_models_lst <- glb_models_lst; sav_models_df <- glb_models_df
#glb_models_lst <- sav_models_lst; glb_models_df <- sav_models_df
# All X that is not user excluded
for (model_id_pfx in c("All.X", "All.Interact.X")) {
#model_id_pfx <- "All.X"
indep_vars_vctr <- subset(glb_feats_df, !myNearZV &
(exclude.as.feat != 1))[, "id"]
if (model_id_pfx == "All.Interact.X") {
# !_sp
# interact_vars_vctr <- c(
# "idseq.my", "D.ratio.sum.TfIdf.nwrds", "D.TfIdf.sum.stem.stop.Ratio",
# "D.npnct15.log", "D.npnct03.log", "D.nwrds.log", "D.nchrs.log")
# indep_vars_vctr <- union(setdiff(indep_vars_vctr, interact_vars_vctr),
# paste(glb_category_var, interact_vars_vctr,
# sep=ifelse(grepl("\\.fctr", glb_category_var), "*", ".fctr*")))
# indep_vars_vctr <- union(setdiff(indep_vars_vctr,
# c("startprice.diff", "biddable", "cellular.fctr", "carrier.fctr")),
# c("startprice.diff*biddable", "cellular.fctr*carrier.fctr"))
###
# _sp only
interact_vars_vctr <- c(
"D.nchrs.log", "D.TfIdf.sum.stem.stop.Ratio",
"D.npnct16.log", "D.npnct01.log", "D.nstopwrds.log", "D.npnct08.log",
"D.terms.n.post.stop", "D.terms.n.post.stem",
"biddable", "condition.fctr",
# "cellular.fctr", "carrier.fctr",
"color.fctr", "storage.fctr", "idseq.my")
indep_vars_vctr <- union(setdiff(indep_vars_vctr, interact_vars_vctr),
paste(glb_category_var, interact_vars_vctr,
sep=ifelse(grepl("\\.fctr", glb_category_var), "*", ".fctr*")))
indep_vars_vctr <- union(setdiff(indep_vars_vctr,
c("cellular.fctr", "carrier.fctr")),
c("cellular.fctr*carrier.fctr"))
###
}
indep_vars_vctr <- myadjust_interaction_feats(indep_vars_vctr)
#stop(here")
for (method in glb_models_method_vctr) {
fit.models_1_chunk_df <- myadd_chunk(fit.models_1_chunk_df,
paste0("fit.models_1_", method), major.inc=TRUE)
if (method %in% c("rpart", "rf")) {
# rpart: fubar's the tree
# rf: skip the scenario w/ .rnorm for speed
indep_vars_vctr <- setdiff(indep_vars_vctr, c(".rnorm"))
model_id <- paste0(model_id_pfx, ".no.rnorm")
} else model_id <- model_id_pfx
ret_lst <- myfit_mdl(model_id=model_id, model_method=method,
indep_vars_vctr=indep_vars_vctr,
model_type=glb_model_type,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=glb_tune_models_df)
# If All.X.glm is less accurate than Low.Cor.X.glm
# check NA coefficients & filter appropriate terms in indep_vars_vctr
# if (method == "glm") {
# orig_glm <- glb_models_lst[[paste0(model_id, ".", model_method)]]$finalModel
# orig_glm <- glb_models_lst[["All.X.glm"]]$finalModel; print(summary(orig_glm))
# vif_orig_glm <- vif(orig_glm); print(vif_orig_glm)
# print(vif_orig_glm[!is.na(vif_orig_glm) & (vif_orig_glm == Inf)])
# print(which.max(vif_orig_glm))
# print(sort(vif_orig_glm[vif_orig_glm >= 1.0e+03], decreasing=TRUE))
# glb_fitobs_df[c(1143, 3637, 3953, 4105), c("UniqueID", "Popular", "H.P.quandary", "Headline")]
# glb_feats_df[glb_feats_df$id %in% grep("[HSA]\\.nchrs.log", glb_feats_df$id, value=TRUE) | glb_feats_df$cor.high.X %in% grep("[HSA]\\.nchrs.log", glb_feats_df$id, value=TRUE), ]
# glb_feats_df[glb_feats_df$id %in% grep("[HSA]\\.npnct14.log", glb_feats_df$id, value=TRUE) | glb_feats_df$cor.high.X %in% grep("[HSA]\\.npnct14.log", glb_feats_df$id, value=TRUE), ]
# glb_feats_df[glb_feats_df$id %in% grep("[HSA]\\.T.scen", glb_feats_df$id, value=TRUE) | glb_feats_df$cor.high.X %in% grep("[HSA]\\.T.scen", glb_feats_df$id, value=TRUE), ]
# glb_feats_df[glb_feats_df$id %in% grep("[HSA]\\.P.first", glb_feats_df$id, value=TRUE) | glb_feats_df$cor.high.X %in% grep("[HSA]\\.P.first", glb_feats_df$id, value=TRUE), ]
# all.equal(glb_allobs_df$S.nuppr.log, glb_allobs_df$A.nuppr.log)
# all.equal(glb_allobs_df$S.npnct19.log, glb_allobs_df$A.npnct19.log)
# all.equal(glb_allobs_df$S.P.year.colon, glb_allobs_df$A.P.year.colon)
# all.equal(glb_allobs_df$S.T.share, glb_allobs_df$A.T.share)
# all.equal(glb_allobs_df$H.T.clip, glb_allobs_df$H.P.daily.clip.report)
# cor(glb_allobs_df$S.T.herald, glb_allobs_df$S.T.tribun)
# mydsp_obs(Abstract.contains="[Dd]iar", cols=("Abstract"), all=TRUE)
# mydsp_obs(Abstract.contains="[Ss]hare", cols=("Abstract"), all=TRUE)
# subset(glb_feats_df, cor.y.abs <= glb_feats_df[glb_feats_df$id == ".rnorm", "cor.y.abs"])
# corxx_mtrx <- cor(data.matrix(glb_allobs_df[, setdiff(names(glb_allobs_df), myfind_chr_cols_df(glb_allobs_df))]), use="pairwise.complete.obs"); abs_corxx_mtrx <- abs(corxx_mtrx); diag(abs_corxx_mtrx) <- 0
# which.max(abs_corxx_mtrx["S.T.tribun", ])
# abs_corxx_mtrx["A.npnct08.log", "S.npnct08.log"]
# step_glm <- step(orig_glm)
# }
# Since caret does not optimize rpart well
# if (method == "rpart")
# ret_lst <- myfit_mdl(model_id=paste0(model_id_pfx, ".cp.0"), model_method=method,
# indep_vars_vctr=indep_vars_vctr,
# model_type=glb_model_type,
# rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
# fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
# n_cv_folds=0, tune_models_df=data.frame(parameter="cp", min=0.0, max=0.0, by=0.1))
}
}## label step_major step_minor bgn end elapsed
## 1 fit.models_1_bgn 1 0 84.127 84.135 0.008
## 2 fit.models_1_lm 2 0 84.136 NA NA
## [1] "fitting model: All.X.lm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -291.63 -44.49 0.41 46.14 346.92
##
## Coefficients: (59 not defined because of singularities)
## Estimate Std. Error
## (Intercept) -5.993e+04 1.363e+05
## `prdl.my.descr.fctrUnknown#1` 3.290e+01 1.544e+02
## `prdl.my.descr.fctriPad 1#0` -5.303e+01 1.971e+01
## `prdl.my.descr.fctriPad 1#1` -1.032e+02 1.535e+02
## `prdl.my.descr.fctriPad 2#0` -1.259e+01 1.909e+01
## `prdl.my.descr.fctriPad 2#1` -6.269e+01 1.551e+02
## `prdl.my.descr.fctriPad 3+#0` 2.188e+01 1.871e+01
## `prdl.my.descr.fctriPad 3+#1` -3.565e+01 1.555e+02
## `prdl.my.descr.fctriPadAir#0` 1.213e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 2.165e+01 1.526e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.410e+01 1.988e+01
## `prdl.my.descr.fctriPadmini 2+#1` 4.504e-01 1.565e+02
## `prdl.my.descr.fctriPadmini#0` 4.880e+00 1.869e+01
## `prdl.my.descr.fctriPadmini#1` -4.252e+01 1.574e+02
## `condition.fctrFor parts or not working` -5.375e+01 1.285e+01
## `condition.fctrManufacturer refurbished` -1.217e+01 2.403e+01
## condition.fctrNew 6.388e+01 1.198e+01
## `condition.fctrNew other (see details)` 6.347e+01 1.707e+01
## `condition.fctrSeller refurbished` -2.591e+01 1.753e+01
## D.ratio.nstopwrds.nwrds -7.689e+01 2.618e+02
## D.TfIdf.sum.stem.stop.Ratio 6.168e+02 6.045e+02
## color.fctrGold -6.379e+00 2.231e+01
## `color.fctrSpace Gray` 1.466e+01 1.243e+01
## color.fctrUnknown -5.324e+00 8.484e+00
## color.fctrWhite 1.902e+01 9.417e+00
## carrier.fctrNone 4.075e+01 2.379e+01
## carrier.fctrOther 9.957e+01 6.033e+01
## carrier.fctrSprint -3.880e+01 2.751e+01
## `carrier.fctrT-Mobile` 1.057e+01 3.354e+01
## carrier.fctrUnknown 1.544e+01 1.654e+01
## carrier.fctrVerizon 4.110e+00 1.477e+01
## .rnorm -4.793e-01 3.000e+00
## storage.fctr16 -1.395e+02 1.979e+01
## storage.fctr32 -1.320e+02 2.069e+01
## storage.fctr64 -9.183e+01 2.037e+01
## storage.fctrUnknown -1.033e+02 2.703e+01
## D.npnct14.log 7.231e+00 4.003e+01
## cellular.fctr1 3.912e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 5.970e+04 1.363e+05
## D.ndgts.log 5.848e+00 1.984e+01
## idseq.my -1.462e-02 7.611e-03
## D.npnct08.log 1.497e+01 2.400e+01
## D.npnct05.log -5.673e+01 8.282e+01
## D.npnct15.log -1.754e+01 3.340e+01
## D.npnct01.log 3.410e+01 2.483e+01
## D.npnct16.log 2.104e+01 6.800e+01
## D.npnct12.log 3.814e-01 2.525e+01
## D.npnct06.log 5.979e+01 7.931e+01
## D.npnct03.log -7.252e+00 5.489e+01
## D.nstopwrds.log -4.443e+01 7.585e+01
## D.npnct11.log -2.024e+01 1.386e+01
## D.npnct13.log -5.830e+00 1.395e+01
## D.terms.n.post.stop -4.255e+02 8.355e+02
## D.terms.n.post.stem 4.185e+02 8.367e+02
## D.nwrds.log 2.208e+02 9.182e+01
## D.terms.n.post.stop.log 6.707e+04 1.518e+05
## D.nwrds.unq.log -6.706e+04 1.518e+05
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -4.567e+02 1.770e+02
## D.nuppr.log 3.756e+02 1.548e+02
## D.TfIdf.sum.post.stem -7.016e+01 9.363e+01
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 6.807e+01 8.973e+01
## D.ratio.sum.TfIdf.nwrds -1.293e+01 1.797e+01
## biddable -1.402e+02 7.548e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.505e+01 4.333e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.216e+01 3.245e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.233e+00 3.042e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.623e+01 3.214e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.737e+00 2.786e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 3.041e+01 4.415e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.480e+01 4.528e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.018e+01 4.802e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.688e+01 4.287e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 6.785e-01 4.409e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.090e+01 4.462e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -7.068e+01 4.412e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.996e+01 9.514e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.492e+01 4.579e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.342e+02 4.538e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.385e+01 4.021e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.362e+00 3.275e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.603e+01 7.297e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.535e+01 4.979e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.586e+00 4.032e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.612e+01 4.274e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.606e+01 3.800e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.061e+01 3.479e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.219e+01 7.276e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.756e+01 4.464e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.580e+01 4.538e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -1.061e+00 4.656e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -8.067e+00 4.208e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.426e+01 6.251e+01
## t value Pr(>|t|)
## (Intercept) -0.440 0.660229
## `prdl.my.descr.fctrUnknown#1` 0.213 0.831351
## `prdl.my.descr.fctriPad 1#0` -2.690 0.007301 **
## `prdl.my.descr.fctriPad 1#1` -0.672 0.501535
## `prdl.my.descr.fctriPad 2#0` -0.660 0.509684
## `prdl.my.descr.fctriPad 2#1` -0.404 0.686104
## `prdl.my.descr.fctriPad 3+#0` 1.170 0.242511
## `prdl.my.descr.fctriPad 3+#1` -0.229 0.818760
## `prdl.my.descr.fctriPadAir#0` 6.449 1.99e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.142 0.887187
## `prdl.my.descr.fctriPadmini 2+#0` 2.722 0.006644 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.003 0.997705
## `prdl.my.descr.fctriPadmini#0` 0.261 0.794046
## `prdl.my.descr.fctriPadmini#1` -0.270 0.787065
## `condition.fctrFor parts or not working` -4.183 3.21e-05 ***
## `condition.fctrManufacturer refurbished` -0.507 0.612633
## condition.fctrNew 5.332 1.28e-07 ***
## `condition.fctrNew other (see details)` 3.717 0.000216 ***
## `condition.fctrSeller refurbished` -1.478 0.139851
## D.ratio.nstopwrds.nwrds -0.294 0.769048
## D.TfIdf.sum.stem.stop.Ratio 1.020 0.307827
## color.fctrGold -0.286 0.775009
## `color.fctrSpace Gray` 1.180 0.238524
## color.fctrUnknown -0.628 0.530445
## color.fctrWhite 2.020 0.043778 *
## carrier.fctrNone 1.713 0.087153 .
## carrier.fctrOther 1.650 0.099291 .
## carrier.fctrSprint -1.410 0.158857
## `carrier.fctrT-Mobile` 0.315 0.752635
## carrier.fctrUnknown 0.934 0.350803
## carrier.fctrVerizon 0.278 0.780873
## .rnorm -0.160 0.873083
## storage.fctr16 -7.050 4.00e-12 ***
## storage.fctr32 -6.382 3.03e-10 ***
## storage.fctr64 -4.508 7.55e-06 ***
## storage.fctrUnknown -3.822 0.000143 ***
## D.npnct14.log 0.181 0.856712
## cellular.fctr1 1.808 0.071075 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 0.438 0.661474
## D.ndgts.log 0.295 0.768269
## idseq.my -1.921 0.055049 .
## D.npnct08.log 0.624 0.533111
## D.npnct05.log -0.685 0.493548
## D.npnct15.log -0.525 0.599728
## D.npnct01.log 1.373 0.170024
## D.npnct16.log 0.309 0.757150
## D.npnct12.log 0.015 0.987951
## D.npnct06.log 0.754 0.451125
## D.npnct03.log -0.132 0.894920
## D.nstopwrds.log -0.586 0.558219
## D.npnct11.log -1.461 0.144496
## D.npnct13.log -0.418 0.676186
## D.terms.n.post.stop -0.509 0.610736
## D.terms.n.post.stem 0.500 0.617067
## D.nwrds.log 2.404 0.016431 *
## D.terms.n.post.stop.log 0.442 0.658799
## D.nwrds.unq.log -0.442 0.658864
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -2.580 0.010070 *
## D.nuppr.log 2.426 0.015483 *
## D.TfIdf.sum.post.stem -0.749 0.453927
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 0.759 0.448308
## D.ratio.sum.TfIdf.nwrds -0.720 0.471854
## biddable -18.576 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.578 0.563292
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.375 0.708034
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.073 0.941493
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.505 0.613739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.098 0.921765
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.689 0.491231
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.548 0.584019
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.212 0.832191
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.627 0.530820
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.015 0.987725
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.917 0.359672
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.602 0.109558
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.630 0.528732
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.326 0.744658
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.957 0.003201 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.593 0.553341
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.286 0.775060
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.042 0.297761
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.714 0.086899 .
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.089 0.929152
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.611 0.541303
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.686 0.492956
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.592 0.553748
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.580 0.562252
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.841 0.400432
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.348 0.727779
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.023 0.981827
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.192 0.848024
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.388 0.698007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.24 on 768 degrees of freedom
## Multiple R-squared: 0.6222, Adjusted R-squared: 0.5774
## F-statistic: 13.9 on 91 and 768 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## [1] " calling mypredict_mdl for OOB:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## model_id model_method
## 1 All.X.lm lm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.366 0.072
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Adj.R.sq.fit
## 1 0.6221691 92.08259 0.5843508 137.2844 0.5774001
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.5119701 3.024083 0.07265279
## label step_major step_minor bgn end elapsed
## 2 fit.models_1_lm 2 0 84.136 87.271 3.135
## 3 fit.models_1_glm 3 0 87.272 NA NA
## [1] "fitting model: All.X.glm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -291.63 -44.49 0.41 46.14 346.92
##
## Coefficients: (59 not defined because of singularities)
## Estimate Std. Error
## (Intercept) -5.993e+04 1.363e+05
## `prdl.my.descr.fctrUnknown#1` 3.290e+01 1.544e+02
## `prdl.my.descr.fctriPad 1#0` -5.303e+01 1.971e+01
## `prdl.my.descr.fctriPad 1#1` -1.032e+02 1.535e+02
## `prdl.my.descr.fctriPad 2#0` -1.259e+01 1.909e+01
## `prdl.my.descr.fctriPad 2#1` -6.269e+01 1.551e+02
## `prdl.my.descr.fctriPad 3+#0` 2.188e+01 1.871e+01
## `prdl.my.descr.fctriPad 3+#1` -3.565e+01 1.555e+02
## `prdl.my.descr.fctriPadAir#0` 1.213e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 2.165e+01 1.526e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.410e+01 1.988e+01
## `prdl.my.descr.fctriPadmini 2+#1` 4.504e-01 1.565e+02
## `prdl.my.descr.fctriPadmini#0` 4.880e+00 1.869e+01
## `prdl.my.descr.fctriPadmini#1` -4.252e+01 1.574e+02
## `condition.fctrFor parts or not working` -5.375e+01 1.285e+01
## `condition.fctrManufacturer refurbished` -1.217e+01 2.403e+01
## condition.fctrNew 6.388e+01 1.198e+01
## `condition.fctrNew other (see details)` 6.347e+01 1.707e+01
## `condition.fctrSeller refurbished` -2.591e+01 1.753e+01
## D.ratio.nstopwrds.nwrds -7.689e+01 2.618e+02
## D.TfIdf.sum.stem.stop.Ratio 6.168e+02 6.045e+02
## color.fctrGold -6.379e+00 2.231e+01
## `color.fctrSpace Gray` 1.466e+01 1.243e+01
## color.fctrUnknown -5.324e+00 8.484e+00
## color.fctrWhite 1.902e+01 9.417e+00
## carrier.fctrNone 4.075e+01 2.379e+01
## carrier.fctrOther 9.957e+01 6.033e+01
## carrier.fctrSprint -3.880e+01 2.751e+01
## `carrier.fctrT-Mobile` 1.057e+01 3.354e+01
## carrier.fctrUnknown 1.544e+01 1.654e+01
## carrier.fctrVerizon 4.110e+00 1.477e+01
## .rnorm -4.793e-01 3.000e+00
## storage.fctr16 -1.395e+02 1.979e+01
## storage.fctr32 -1.320e+02 2.069e+01
## storage.fctr64 -9.183e+01 2.037e+01
## storage.fctrUnknown -1.033e+02 2.703e+01
## D.npnct14.log 7.231e+00 4.003e+01
## cellular.fctr1 3.912e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 5.970e+04 1.363e+05
## D.ndgts.log 5.848e+00 1.984e+01
## idseq.my -1.462e-02 7.611e-03
## D.npnct08.log 1.497e+01 2.400e+01
## D.npnct05.log -5.673e+01 8.282e+01
## D.npnct15.log -1.754e+01 3.340e+01
## D.npnct01.log 3.410e+01 2.483e+01
## D.npnct16.log 2.104e+01 6.800e+01
## D.npnct12.log 3.814e-01 2.525e+01
## D.npnct06.log 5.979e+01 7.931e+01
## D.npnct03.log -7.252e+00 5.489e+01
## D.nstopwrds.log -4.443e+01 7.585e+01
## D.npnct11.log -2.024e+01 1.386e+01
## D.npnct13.log -5.830e+00 1.395e+01
## D.terms.n.post.stop -4.255e+02 8.355e+02
## D.terms.n.post.stem 4.185e+02 8.367e+02
## D.nwrds.log 2.208e+02 9.182e+01
## D.terms.n.post.stop.log 6.707e+04 1.518e+05
## D.nwrds.unq.log -6.706e+04 1.518e+05
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -4.567e+02 1.770e+02
## D.nuppr.log 3.756e+02 1.548e+02
## D.TfIdf.sum.post.stem -7.016e+01 9.363e+01
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 6.807e+01 8.973e+01
## D.ratio.sum.TfIdf.nwrds -1.293e+01 1.797e+01
## biddable -1.402e+02 7.548e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.505e+01 4.333e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.216e+01 3.245e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.233e+00 3.042e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.623e+01 3.214e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.737e+00 2.786e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 3.041e+01 4.415e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.480e+01 4.528e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.018e+01 4.802e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.688e+01 4.287e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 6.785e-01 4.409e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.090e+01 4.462e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -7.068e+01 4.412e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.996e+01 9.514e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.492e+01 4.579e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.342e+02 4.538e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.385e+01 4.021e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.362e+00 3.275e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.603e+01 7.297e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.535e+01 4.979e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.586e+00 4.032e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.612e+01 4.274e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.606e+01 3.800e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.061e+01 3.479e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.219e+01 7.276e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.756e+01 4.464e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.580e+01 4.538e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -1.061e+00 4.656e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -8.067e+00 4.208e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.426e+01 6.251e+01
## t value Pr(>|t|)
## (Intercept) -0.440 0.660229
## `prdl.my.descr.fctrUnknown#1` 0.213 0.831351
## `prdl.my.descr.fctriPad 1#0` -2.690 0.007301 **
## `prdl.my.descr.fctriPad 1#1` -0.672 0.501535
## `prdl.my.descr.fctriPad 2#0` -0.660 0.509684
## `prdl.my.descr.fctriPad 2#1` -0.404 0.686104
## `prdl.my.descr.fctriPad 3+#0` 1.170 0.242511
## `prdl.my.descr.fctriPad 3+#1` -0.229 0.818760
## `prdl.my.descr.fctriPadAir#0` 6.449 1.99e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.142 0.887187
## `prdl.my.descr.fctriPadmini 2+#0` 2.722 0.006644 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.003 0.997705
## `prdl.my.descr.fctriPadmini#0` 0.261 0.794046
## `prdl.my.descr.fctriPadmini#1` -0.270 0.787065
## `condition.fctrFor parts or not working` -4.183 3.21e-05 ***
## `condition.fctrManufacturer refurbished` -0.507 0.612633
## condition.fctrNew 5.332 1.28e-07 ***
## `condition.fctrNew other (see details)` 3.717 0.000216 ***
## `condition.fctrSeller refurbished` -1.478 0.139851
## D.ratio.nstopwrds.nwrds -0.294 0.769048
## D.TfIdf.sum.stem.stop.Ratio 1.020 0.307827
## color.fctrGold -0.286 0.775009
## `color.fctrSpace Gray` 1.180 0.238524
## color.fctrUnknown -0.628 0.530445
## color.fctrWhite 2.020 0.043778 *
## carrier.fctrNone 1.713 0.087153 .
## carrier.fctrOther 1.650 0.099291 .
## carrier.fctrSprint -1.410 0.158857
## `carrier.fctrT-Mobile` 0.315 0.752635
## carrier.fctrUnknown 0.934 0.350803
## carrier.fctrVerizon 0.278 0.780873
## .rnorm -0.160 0.873083
## storage.fctr16 -7.050 4.00e-12 ***
## storage.fctr32 -6.382 3.03e-10 ***
## storage.fctr64 -4.508 7.55e-06 ***
## storage.fctrUnknown -3.822 0.000143 ***
## D.npnct14.log 0.181 0.856712
## cellular.fctr1 1.808 0.071075 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 0.438 0.661474
## D.ndgts.log 0.295 0.768269
## idseq.my -1.921 0.055049 .
## D.npnct08.log 0.624 0.533111
## D.npnct05.log -0.685 0.493548
## D.npnct15.log -0.525 0.599728
## D.npnct01.log 1.373 0.170024
## D.npnct16.log 0.309 0.757150
## D.npnct12.log 0.015 0.987951
## D.npnct06.log 0.754 0.451125
## D.npnct03.log -0.132 0.894920
## D.nstopwrds.log -0.586 0.558219
## D.npnct11.log -1.461 0.144496
## D.npnct13.log -0.418 0.676186
## D.terms.n.post.stop -0.509 0.610736
## D.terms.n.post.stem 0.500 0.617067
## D.nwrds.log 2.404 0.016431 *
## D.terms.n.post.stop.log 0.442 0.658799
## D.nwrds.unq.log -0.442 0.658864
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -2.580 0.010070 *
## D.nuppr.log 2.426 0.015483 *
## D.TfIdf.sum.post.stem -0.749 0.453927
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 0.759 0.448308
## D.ratio.sum.TfIdf.nwrds -0.720 0.471854
## biddable -18.576 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.578 0.563292
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.375 0.708034
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.073 0.941493
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.505 0.613739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.098 0.921765
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.689 0.491231
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.548 0.584019
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.212 0.832191
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.627 0.530820
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.015 0.987725
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.917 0.359672
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.602 0.109558
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.630 0.528732
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.326 0.744658
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.957 0.003201 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.593 0.553341
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.286 0.775060
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.042 0.297761
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.714 0.086899 .
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.089 0.929152
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.611 0.541303
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.686 0.492956
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.592 0.553748
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.580 0.562252
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.841 0.400432
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.348 0.727779
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.023 0.981827
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.192 0.848024
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.388 0.698007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 7265.634)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 5580007 on 768 degrees of freedom
## AIC: 10175
##
## Number of Fisher Scoring iterations: 2
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## [1] " calling mypredict_mdl for OOB:"## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## model_id model_method
## 1 All.X.glm glm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.447 0.106
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB min.aic.fit
## 1 0.6221691 92.08259 0.5843508 137.2844 10175.45
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.5119701 3.024083 0.07265279
## label step_major step_minor bgn end elapsed
## 3 fit.models_1_glm 3 0 87.272 90.534 3.262
## 4 fit.models_1_bayesglm 4 0 90.535 NA NA
## [1] "fitting model: All.X.bayesglm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"## Loading required package: arm
## Loading required package: MASS
##
## Attaching package: 'MASS'
##
## The following object is masked from 'package:dplyr':
##
## select
##
## Loading required package: Matrix
##
## Attaching package: 'Matrix'
##
## The following object is masked from 'package:tidyr':
##
## expand
##
## Loading required package: lme4
##
## Attaching package: 'lme4'
##
## The following object is masked from 'package:nlme':
##
## lmList
##
##
## arm (Version 1.8-6, built: 2015-7-7)
##
## Working directory is /Users/bbalaji-2012/Documents/Work/Courses/MIT/Analytics_Edge_15_071x/Assignments/Kaggle_eBay_iPads## Aggregating results
## Fitting final model on full training set
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -291.28 -44.44 0.15 46.26 346.59
##
## Coefficients:
## Estimate Std. Error
## (Intercept) 2.175e+02 7.915e+02
## `prdl.my.descr.fctrUnknown#1` 4.880e+01 1.723e+02
## `prdl.my.descr.fctriPad 1#0` -5.328e+01 2.043e+01
## `prdl.my.descr.fctriPad 1#1` -8.791e+01 1.718e+02
## `prdl.my.descr.fctriPad 2#0` -1.286e+01 1.978e+01
## `prdl.my.descr.fctriPad 2#1` -4.650e+01 1.717e+02
## `prdl.my.descr.fctriPad 3+#0` 2.164e+01 1.939e+01
## `prdl.my.descr.fctriPad 3+#1` -1.733e+01 1.720e+02
## `prdl.my.descr.fctriPadAir#0` 1.211e+02 1.949e+01
## `prdl.my.descr.fctriPadAir#1` 3.744e+01 1.712e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.371e+01 2.061e+01
## `prdl.my.descr.fctriPadmini 2+#1` 1.824e+01 1.733e+02
## `prdl.my.descr.fctriPadmini#0` 4.675e+00 1.937e+01
## `prdl.my.descr.fctriPadmini#1` -2.823e+01 1.730e+02
## `condition.fctrFor parts or not working` -5.420e+01 1.330e+01
## `condition.fctrManufacturer refurbished` -1.231e+01 2.497e+01
## condition.fctrNew 6.361e+01 1.246e+01
## `condition.fctrNew other (see details)` 6.235e+01 1.772e+01
## `condition.fctrSeller refurbished` -2.583e+01 1.790e+01
## D.ratio.nstopwrds.nwrds -5.473e+01 2.342e+02
## D.TfIdf.sum.stem.stop.Ratio 2.910e+02 4.328e+02
## color.fctrGold -6.218e+00 2.314e+01
## `color.fctrSpace Gray` 1.518e+01 1.291e+01
## color.fctrUnknown -5.808e+00 8.807e+00
## color.fctrWhite 1.916e+01 9.788e+00
## carrier.fctrNone 1.447e+01 3.061e+02
## carrier.fctrOther 9.869e+01 6.193e+01
## carrier.fctrSprint -3.896e+01 2.856e+01
## `carrier.fctrT-Mobile` 9.400e+00 3.475e+01
## carrier.fctrUnknown 1.574e+01 1.718e+01
## carrier.fctrVerizon 3.927e+00 1.534e+01
## .rnorm -4.725e-01 3.111e+00
## storage.fctr16 -1.388e+02 2.052e+01
## storage.fctr32 -1.312e+02 2.144e+01
## storage.fctr64 -9.106e+01 2.112e+01
## storage.fctrUnknown -1.025e+02 2.804e+01
## D.npnct14.log 7.432e+00 4.098e+01
## cellular.fctr1 1.254e+01 3.061e+02
## cellular.fctrUnknown -2.705e+01 3.064e+02
## D.terms.n.stem.stop.Ratio -1.187e+02 5.401e+02
## D.ndgts.log 4.378e+00 2.005e+01
## idseq.my -1.411e-02 7.891e-03
## D.npnct08.log 1.275e+01 2.487e+01
## D.npnct05.log -5.882e+01 8.406e+01
## D.npnct15.log -1.960e+01 3.452e+01
## D.npnct01.log 3.033e+01 2.516e+01
## D.npnct16.log 1.928e+01 6.886e+01
## D.npnct12.log -8.239e-01 2.594e+01
## D.npnct06.log 5.589e+01 7.993e+01
## D.npnct03.log -7.567e+00 5.622e+01
## D.nstopwrds.log -4.676e+01 6.930e+01
## D.npnct11.log -2.219e+01 1.426e+01
## D.npnct13.log -8.914e+00 1.421e+01
## D.terms.n.post.stop -2.490e+01 6.879e+01
## D.terms.n.post.stem 1.784e+01 6.992e+01
## D.nwrds.log 2.054e+02 8.984e+01
## D.terms.n.post.stop.log 6.744e+01 4.498e+02
## D.nwrds.unq.log -2.668e+01 4.736e+02
## D.terms.n.post.stem.log -2.668e+01 4.736e+02
## D.nchrs.log -3.884e+02 1.669e+02
## D.nuppr.log 3.188e+02 1.467e+02
## D.TfIdf.sum.post.stem -1.053e+01 3.968e+02
## D.sum.TfIdf -1.053e+01 3.968e+02
## D.npnct24.log -5.748e+01 2.915e+02
## D.TfIdf.sum.post.stop 2.059e+01 6.543e+01
## D.ratio.sum.TfIdf.nwrds -1.192e+01 1.778e+01
## biddable -1.401e+02 7.852e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.324e+01 4.420e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.019e+01 3.351e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.257e+00 3.145e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.828e+01 3.314e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 3.268e+00 2.863e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 2.696e+01 4.521e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.047e+01 4.656e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.065e+01 4.953e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.852e+01 4.401e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 1.932e+00 4.560e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -3.976e+01 4.431e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -6.661e+01 4.543e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.743e+01 9.689e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.453e+01 4.716e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.328e+02 4.690e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.567e+01 4.151e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.615e+00 3.386e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.499e+01 7.396e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.276e+01 5.148e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.334e+00 4.105e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.703e+01 4.417e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.604e+01 3.925e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.013e+01 3.581e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.589e+01 7.455e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.537e+01 4.590e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.218e+01 4.676e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -3.900e+00 4.789e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -6.096e+00 4.330e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 1.885e+01 6.367e+01
## t value Pr(>|t|)
## (Intercept) 0.275 0.783577
## `prdl.my.descr.fctrUnknown#1` 0.283 0.777039
## `prdl.my.descr.fctriPad 1#0` -2.608 0.009287 **
## `prdl.my.descr.fctriPad 1#1` -0.512 0.609100
## `prdl.my.descr.fctriPad 2#0` -0.650 0.515952
## `prdl.my.descr.fctriPad 2#1` -0.271 0.786570
## `prdl.my.descr.fctriPad 3+#0` 1.116 0.264765
## `prdl.my.descr.fctriPad 3+#1` -0.101 0.919767
## `prdl.my.descr.fctriPadAir#0` 6.211 8.96e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.219 0.826990
## `prdl.my.descr.fctriPadmini 2+#0` 2.607 0.009338 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.105 0.916235
## `prdl.my.descr.fctriPadmini#0` 0.241 0.809351
## `prdl.my.descr.fctriPadmini#1` -0.163 0.870437
## `condition.fctrFor parts or not working` -4.076 5.11e-05 ***
## `condition.fctrManufacturer refurbished` -0.493 0.622269
## condition.fctrNew 5.104 4.27e-07 ***
## `condition.fctrNew other (see details)` 3.519 0.000461 ***
## `condition.fctrSeller refurbished` -1.443 0.149512
## D.ratio.nstopwrds.nwrds -0.234 0.815281
## D.TfIdf.sum.stem.stop.Ratio 0.672 0.501497
## color.fctrGold -0.269 0.788267
## `color.fctrSpace Gray` 1.176 0.239839
## color.fctrUnknown -0.660 0.509773
## color.fctrWhite 1.957 0.050697 .
## carrier.fctrNone 0.047 0.962305
## carrier.fctrOther 1.593 0.111502
## carrier.fctrSprint -1.364 0.172984
## `carrier.fctrT-Mobile` 0.271 0.786826
## carrier.fctrUnknown 0.916 0.359869
## carrier.fctrVerizon 0.256 0.798039
## .rnorm -0.152 0.879323
## storage.fctr16 -6.764 2.81e-11 ***
## storage.fctr32 -6.120 1.55e-09 ***
## storage.fctr64 -4.311 1.85e-05 ***
## storage.fctrUnknown -3.656 0.000275 ***
## D.npnct14.log 0.181 0.856123
## cellular.fctr1 0.041 0.967322
## cellular.fctrUnknown -0.088 0.929657
## D.terms.n.stem.stop.Ratio -0.220 0.826123
## D.ndgts.log 0.218 0.827234
## idseq.my -1.788 0.074279 .
## D.npnct08.log 0.513 0.608317
## D.npnct05.log -0.700 0.484303
## D.npnct15.log -0.568 0.570236
## D.npnct01.log 1.205 0.228454
## D.npnct16.log 0.280 0.779541
## D.npnct12.log -0.032 0.974670
## D.npnct06.log 0.699 0.484615
## D.npnct03.log -0.135 0.892963
## D.nstopwrds.log -0.675 0.500096
## D.npnct11.log -1.556 0.120050
## D.npnct13.log -0.627 0.530714
## D.terms.n.post.stop -0.362 0.717477
## D.terms.n.post.stem 0.255 0.798719
## D.nwrds.log 2.286 0.022560 *
## D.terms.n.post.stop.log 0.150 0.880865
## D.nwrds.unq.log -0.056 0.955080
## D.terms.n.post.stem.log -0.056 0.955080
## D.nchrs.log -2.326 0.020280 *
## D.nuppr.log 2.174 0.030032 *
## D.TfIdf.sum.post.stem -0.027 0.978831
## D.sum.TfIdf -0.027 0.978831
## D.npnct24.log -0.197 0.843754
## D.TfIdf.sum.post.stop 0.315 0.753105
## D.ratio.sum.TfIdf.nwrds -0.671 0.502696
## biddable -17.848 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.526 0.599290
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.304 0.761114
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.072 0.942822
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.552 0.581340
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.114 0.909157
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.596 0.551135
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.440 0.660337
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.215 0.829823
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.648 0.517240
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.042 0.966216
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.897 0.369822
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.466 0.143037
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.593 0.553527
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.308 0.758158
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.831 0.004765 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.618 0.536536
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.284 0.776543
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.014 0.310914
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.608 0.108383
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.081 0.935289
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.612 0.540731
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.663 0.507300
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.562 0.574169
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.616 0.538376
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.771 0.441146
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.261 0.794495
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.081 0.935121
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.141 0.888094
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.296 0.767275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 7878.158)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 5585614 on 709 degrees of freedom
## AIC: 10294
##
## Number of Fisher Scoring iterations: 10
##
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.X.bayesglm bayesglm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 3.996 0.695
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB min.aic.fit
## 1 0.6217894 91.62821 0.5898457 136.3741 10294.32
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.5156085 3.114391 0.07412579
## label step_major step_minor bgn end elapsed
## 4 fit.models_1_bayesglm 4 0 90.535 95.733 5.198
## 5 fit.models_1_glmnet 5 0 95.734 NA NA
## [1] "fitting model: All.X.glmnet"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"## Loading required package: glmnet
## Loaded glmnet 2.0-2
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 1, lambda = 1.26 on full training set## Warning in myfit_mdl(model_id = model_id, model_method = method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: alpha
## Length Class Mode
## a0 100 -none- numeric
## beta 15000 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 150 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## 159.23123298
## prdl.my.descr.fctrUnknown#1
## 39.21222222
## prdl.my.descr.fctriPad 1#0
## -52.68293623
## prdl.my.descr.fctriPad 1#1
## -44.87938994
## prdl.my.descr.fctriPad 2#0
## -12.26463926
## prdl.my.descr.fctriPad 2#1
## -14.02448955
## prdl.my.descr.fctriPad 3+#0
## 15.93120101
## prdl.my.descr.fctriPadAir#0
## 121.23650416
## prdl.my.descr.fctriPadAir#1
## 61.89131361
## prdl.my.descr.fctriPadmini 2+#0
## 51.98439805
## prdl.my.descr.fctriPadmini 2+#1
## 55.74035282
## condition.fctrFor parts or not working
## -49.23378979
## condition.fctrNew
## 67.83142219
## condition.fctrNew other (see details)
## 53.48112322
## condition.fctrSeller refurbished
## -16.85983553
## D.TfIdf.sum.stem.stop.Ratio
## 101.06613710
## color.fctrSpace Gray
## 13.49655599
## color.fctrUnknown
## -4.00365809
## color.fctrWhite
## 17.96203540
## carrier.fctrOther
## 65.64232589
## carrier.fctrSprint
## -30.68389579
## carrier.fctrT-Mobile
## 0.08645408
## storage.fctr16
## -57.43680121
## storage.fctr32
## -44.54306689
## storage.fctr64
## -5.71859470
## storage.fctrUnknown
## -10.18460432
## cellular.fctr1
## 2.51479579
## cellular.fctrUnknown
## -29.55994227
## idseq.my
## -0.01029569
## D.npnct05.log
## -33.05232964
## D.npnct15.log
## -14.29331047
## D.npnct01.log
## 6.87246286
## D.npnct16.log
## 23.70708266
## D.npnct11.log
## -4.08480136
## D.terms.n.post.stop
## 1.42263250
## D.terms.n.post.stem
## 0.03237370
## D.ratio.sum.TfIdf.nwrds
## -16.77807050
## biddable
## -133.19500370
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr2
## 5.22082449
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -8.03148731
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -10.87258236
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr3
## -17.12259674
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 22.27181853
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -103.11501035
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -50.99850631
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -33.59701925
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -24.74304562
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 26.49737691
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr5
## 44.57735513
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## -26.15822320
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## 3.007752e+02
## prdl.my.descr.fctrUnknown#1
## 2.171808e+01
## prdl.my.descr.fctriPad 1#0
## -5.386791e+01
## prdl.my.descr.fctriPad 1#1
## -1.103845e+02
## prdl.my.descr.fctriPad 2#0
## -1.332455e+01
## prdl.my.descr.fctriPad 2#1
## -6.965449e+01
## prdl.my.descr.fctriPad 3+#0
## 2.116682e+01
## prdl.my.descr.fctriPad 3+#1
## -3.937760e+01
## prdl.my.descr.fctriPadAir#0
## 1.207434e+02
## prdl.my.descr.fctriPadAir#1
## 1.542749e+01
## prdl.my.descr.fctriPadmini 2+#0
## 5.363402e+01
## prdl.my.descr.fctriPadmini 2+#1
## -1.533303e-02
## prdl.my.descr.fctriPadmini#0
## 4.274968e+00
## prdl.my.descr.fctriPadmini#1
## -5.355860e+01
## condition.fctrFor parts or not working
## -5.343159e+01
## condition.fctrManufacturer refurbished
## -1.348917e+01
## condition.fctrNew
## 6.336557e+01
## condition.fctrNew other (see details)
## 5.977058e+01
## condition.fctrSeller refurbished
## -2.452901e+01
## D.ratio.nstopwrds.nwrds
## -9.173377e+01
## D.TfIdf.sum.stem.stop.Ratio
## 1.655103e+02
## color.fctrGold
## -4.268118e+00
## color.fctrSpace Gray
## 1.497414e+01
## color.fctrUnknown
## -6.139676e+00
## color.fctrWhite
## 1.876700e+01
## carrier.fctrNone
## 2.961429e+00
## carrier.fctrOther
## 1.120511e+02
## carrier.fctrSprint
## -3.717582e+01
## carrier.fctrT-Mobile
## 7.746147e+00
## carrier.fctrUnknown
## 1.625145e+01
## carrier.fctrVerizon
## 4.667023e+00
## .rnorm
## -5.003283e-01
## storage.fctr16
## -1.385976e+02
## storage.fctr32
## -1.307518e+02
## storage.fctr64
## -9.021674e+01
## storage.fctrUnknown
## -1.017716e+02
## D.npnct14.log
## -3.829888e+00
## cellular.fctrUnknown
## -4.019862e+01
## D.terms.n.stem.stop.Ratio
## -2.796654e+01
## D.ndgts.log
## -7.082546e+00
## idseq.my
## -1.408042e-02
## D.npnct08.log
## 6.053391e+00
## D.npnct05.log
## -6.193951e+01
## D.npnct15.log
## -3.133053e+01
## D.npnct01.log
## 1.090533e+01
## D.npnct16.log
## 1.367087e+01
## D.npnct12.log
## -5.397549e+00
## D.npnct06.log
## 3.144000e+01
## D.npnct03.log
## 2.324782e+00
## D.nstopwrds.log
## -2.633108e+01
## D.npnct11.log
## -2.750319e+01
## D.npnct13.log
## -1.874061e+01
## D.terms.n.post.stop
## -4.366853e+00
## D.nwrds.log
## 1.294836e+02
## D.terms.n.post.stop.log
## 4.938835e-01
## D.nwrds.unq.log
## 7.958062e-01
## D.terms.n.post.stem.log
## 6.270019e-12
## D.nchrs.log
## -7.129947e+01
## D.nuppr.log
## 4.975847e+01
## D.TfIdf.sum.post.stem
## -1.337235e+00
## D.npnct24.log
## -1.820471e+02
## D.TfIdf.sum.post.stop
## 7.916969e-01
## D.ratio.sum.TfIdf.nwrds
## -2.953379e+00
## biddable
## -1.395637e+02
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr2
## -2.161940e+01
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -6.468183e+00
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr2
## 2.218628e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2
## -1.740691e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr2
## 6.078199e-01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2
## 1.501901e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr2
## -1.223939e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr3
## -7.881569e+00
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr3
## 2.402158e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr3
## 6.515258e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -4.538783e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr3
## -5.563868e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 4.921072e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr3
## -1.620645e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -1.317599e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr4
## 2.687646e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr4
## 9.600613e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -7.667215e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -7.826059e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr4
## 7.097955e+00
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr5
## 3.141591e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -2.539405e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 2.250208e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr5
## 4.749280e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## -3.124747e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr6
## -5.527288e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6
## -2.224358e+00
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr6
## -4.764619e+00
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr7
## 2.079915e+01
## character(0)
## character(0)
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.X.glmnet glmnet
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 9 2.417 0.182
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.5984125 89.07544 0.5869597 136.8529 0.5382498
## min.RMSESD.fit max.RsquaredSD.fit
## 1 3.191721 0.08510928
## label step_major step_minor bgn end elapsed
## 5 fit.models_1_glmnet 5 0 95.734 100.024 4.291
## 6 fit.models_1_rpart 6 0 100.025 NA NA
## [1] "fitting model: All.X.no.rnorm.rpart"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = model_id, model_method = method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.000000
## 2 0.08875699 1 0.770589
## 3 0.06838998 2 0.681832
##
## Variable importance
## biddable
## 67
## prdl.my.descr.fctriPadAir#0
## 26
## idseq.my
## 3
## D.npnct15.log
## 2
## D.TfIdf.sum.stem.stop.Ratio
## 1
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## 1
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.13039270, (0 missing)
## condition.fctrFor parts or not working < 0.5 to the right, improve=0.05958729, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## Surrogate splits:
## idseq.my < 1783.5 to the left, agree=0.757, adj=0.050, (0 split)
## D.npnct15.log < 0.3465736 to the left, agree=0.750, adj=0.023, (0 split)
## D.TfIdf.sum.stem.stop.Ratio < 0.8214259 to the right, agree=0.747, adj=0.009, (0 split)
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5 < 0.5 to the left, agree=0.747, adj=0.009, (0 split)
## D.npnct01.log < 1.242453 to the left, agree=0.745, adj=0.005, (0 split)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.10000360, (0 missing)
## idseq.my < 1307.5 to the right, improve=0.05219207, (0 missing)
## condition.fctrFor parts or not working < 0.5 to the right, improve=0.04767237, (0 missing)
## color.fctrSpace Gray < 0.5 to the left, improve=0.04382508, (0 missing)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 572 observations
## mean=75.03309, MSE=6729.045
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014 75.03309 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551 221.89440 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.X.no.rnorm.rpart rpart
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 1.961 0.092
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.318168 107.5255 0.3374985 173.321 0.342084
## min.RMSESD.fit max.RsquaredSD.fit
## 1 6.490951 0.06028494
## label step_major step_minor bgn end elapsed
## 6 fit.models_1_rpart 6 0 100.025 104.211 4.186
## 7 fit.models_1_rf 7 0 104.212 NA NA
## [1] "fitting model: All.X.no.rnorm.rf"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"## Loading required package: randomForest
## randomForest 4.6-10
## Type rfNews() to see new features/changes/bug fixes.
##
## Attaching package: 'randomForest'
##
## The following object is masked from 'package:dplyr':
##
## combine
##
## The following object is masked from 'package:gdata':
##
## combine
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 75 on full training set
## Length Class Mode
## call 4 -none- call
## type 1 -none- character
## predicted 860 -none- numeric
## mse 500 -none- numeric
## rsq 500 -none- numeric
## oob.times 860 -none- numeric
## importance 149 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 11 -none- list
## coefs 0 -none- NULL
## y 860 -none- numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## xNames 149 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 1 -none- logical
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.X.no.rnorm.rf rf
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 84.471 13.753
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.888838 90.36456 0.6097868 132.8396 0.518094
## min.RMSESD.fit max.RsquaredSD.fit
## 1 4.121061 0.09762013
## label step_major step_minor bgn end elapsed
## 7 fit.models_1_rf 7 0 104.212 190.908 86.697
## 8 fit.models_1_lm 8 0 190.909 NA NA
## [1] "fitting model: All.Interact.X.lm"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 15, 19, 21, 30, 48, 64, 118, 153, 156, 189, 204, 347, 355, 361, 383, 386, 391, 393, 394, 399, 403, 435, 442, 449, 453, 476, 490, 494, 495, 506, 515, 532, 579, 597, 605, 640, 642, 651, 665, 669, 702, 703, 718, 760, 799, 807, 816, 817, 824, 834, 850, 856
## Warning: not plotting observations with leverage one:
## 15, 19, 21, 30, 48, 64, 118, 153, 156, 189, 204, 347, 355, 361, 383, 386, 391, 393, 394, 399, 403, 435, 442, 449, 453, 476, 490, 494, 495, 506, 515, 532, 579, 597, 605, 640, 642, 651, 665, 669, 702, 703, 718, 760, 799, 807, 816, 817, 824, 834, 850, 856
## Warning in sqrt(crit * p * (1 - hh)/hh): NaNs produced## Warning in sqrt(crit * p * (1 - hh)/hh): NaNs produced##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -258.69 -26.52 0.00 26.06 365.54
##
## Coefficients: (168 not defined because of singularities)
## Estimate
## (Intercept) 5.880e+04
## `prdl.my.descr.fctrUnknown#1` -1.062e+03
## `prdl.my.descr.fctriPad 1#0` -3.419e+01
## `prdl.my.descr.fctriPad 1#1` -6.447e+02
## `prdl.my.descr.fctriPad 2#0` 2.368e+01
## `prdl.my.descr.fctriPad 2#1` -1.668e+02
## `prdl.my.descr.fctriPad 3+#0` 2.628e+02
## `prdl.my.descr.fctriPad 3+#1` -2.836e+02
## `prdl.my.descr.fctriPadAir#0` 5.242e+02
## `prdl.my.descr.fctriPadAir#1` 7.543e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.342e+02
## `prdl.my.descr.fctriPadmini 2+#1` 2.909e+03
## `prdl.my.descr.fctriPadmini#0` 5.588e+01
## `prdl.my.descr.fctriPadmini#1` -1.205e+02
## D.ratio.nstopwrds.nwrds -2.771e+02
## .rnorm 3.693e+00
## D.npnct14.log -3.101e+01
## D.terms.n.stem.stop.Ratio -5.896e+04
## D.ndgts.log -3.783e+01
## D.npnct05.log -2.496e+01
## D.npnct15.log -6.734e+01
## D.npnct12.log 1.455e+00
## D.npnct06.log -1.007e+02
## D.npnct03.log 6.197e+01
## D.npnct11.log -2.568e+01
## D.npnct13.log -1.182e+01
## D.nwrds.log 1.280e+02
## D.terms.n.post.stop.log -6.566e+04
## D.nwrds.unq.log 6.570e+04
## D.terms.n.post.stem.log NA
## D.nuppr.log -1.090e+02
## D.TfIdf.sum.post.stem -7.870e+01
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 7.036e+01
## D.ratio.sum.TfIdf.nwrds -9.915e-01
## D.nchrs.log 4.604e+01
## D.TfIdf.sum.stem.stop.Ratio 4.247e+02
## D.npnct16.log 3.019e+00
## D.npnct01.log -7.786e+00
## D.nstopwrds.log 1.454e+00
## D.npnct08.log -6.409e+02
## D.terms.n.post.stop 3.237e+02
## D.terms.n.post.stem -3.337e+02
## biddable -1.287e+02
## `condition.fctrFor parts or not working` -7.964e+01
## `condition.fctrManufacturer refurbished` 1.013e+02
## condition.fctrNew 4.853e+01
## `condition.fctrNew other (see details)` 5.768e+01
## `condition.fctrSeller refurbished` 3.157e+01
## color.fctrGold 7.253e+02
## `color.fctrSpace Gray` 7.754e+01
## color.fctrUnknown -1.266e+01
## color.fctrWhite 7.603e+01
## storage.fctr16 1.414e+02
## storage.fctr32 1.576e+02
## storage.fctr64 2.176e+02
## storage.fctrUnknown 1.361e+02
## idseq.my 6.010e-02
## cellular.fctr1 5.595e+00
## cellular.fctrUnknown -2.847e+01
## carrier.fctrNone NA
## carrier.fctrOther 4.137e+01
## carrier.fctrSprint -6.046e+01
## `carrier.fctrT-Mobile` 1.687e+01
## carrier.fctrUnknown 1.162e+01
## carrier.fctrVerizon 4.344e+00
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -1.300e+02
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 4.906e+01
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -8.236e+01
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 2.198e+01
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -5.208e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -5.899e+02
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.441e+03
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 4.214e+02
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 2.718e+02
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 3.175e+02
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -3.711e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -1.632e+03
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.947e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 1.268e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.662e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -1.784e+01
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.500e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 4.717e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 2.180e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -4.843e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 1.000e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -7.239e+01
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 7.636e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 6.611e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 5.646e+01
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -1.493e+01
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 4.311e+01
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 2.060e+01
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 5.389e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 5.379e+02
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 8.610e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 7.357e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 6.135e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 6.441e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 7.580e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 2.593e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 2.691e+01
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 1.911e+00
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 3.451e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 3.615e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 4.122e+01
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -2.260e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` -3.522e+01
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 2.471e+00
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` -4.821e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` -2.473e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -1.518e+01
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` -4.707e+01
## `prdl.my.descr.fctriPad 1#0:biddable` 7.907e+01
## `prdl.my.descr.fctriPad 1#1:biddable` 6.027e+01
## `prdl.my.descr.fctriPad 2#0:biddable` 2.314e+01
## `prdl.my.descr.fctriPad 2#1:biddable` 1.661e+01
## `prdl.my.descr.fctriPad 3+#0:biddable` 2.870e+00
## `prdl.my.descr.fctriPad 3+#1:biddable` -9.429e+00
## `prdl.my.descr.fctriPadAir#0:biddable` -7.721e+01
## `prdl.my.descr.fctriPadAir#1:biddable` 3.580e+01
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -9.069e+01
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 7.903e+01
## `prdl.my.descr.fctriPadmini#0:biddable` 2.895e+01
## `prdl.my.descr.fctriPadmini#1:biddable` 5.303e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 3.274e-01
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 3.277e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 3.408e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 7.968e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 7.030e+00
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 2.415e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 3.591e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -3.278e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 3.506e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 7.343e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 5.979e+01
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 4.041e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 3.672e+00
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -1.610e+02
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -1.151e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -1.024e+02
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -1.373e+02
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.603e+02
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -1.434e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -2.120e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` -2.978e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 2.771e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 3.326e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -1.531e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 1.724e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 2.257e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 2.034e+00
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -4.656e+01
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -7.203e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -1.224e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -4.023e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` -1.001e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -1.024e+02
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 4.056e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -7.141e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.456e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -3.341e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` -2.696e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -1.774e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -4.920e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -5.969e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -1.572e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -4.698e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -9.674e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -2.738e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -1.972e+02
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -5.209e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.666e+02
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -7.280e+02
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` -6.901e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` -7.304e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -7.456e+02
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -7.399e+01
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 6.887e-01
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -5.919e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 2.680e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 5.566e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -2.649e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -8.319e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` -2.252e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -5.767e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -9.068e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.525e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 3.966e+00
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 2.416e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -3.034e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -1.400e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -2.099e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -2.545e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 1.475e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -1.823e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -1.733e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` -1.332e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 3.180e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -1.822e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -9.137e+01
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -8.334e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -8.056e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -8.056e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -5.571e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -7.455e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -8.763e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 4.270e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -1.429e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -9.440e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 2.057e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -3.340e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -9.003e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` -5.397e+01
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` -1.480e+00
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -1.028e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 3.978e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 8.914e+00
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` -1.582e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` -7.728e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -4.013e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -2.115e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -2.841e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -2.833e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -2.738e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` -4.014e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -1.363e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` -7.915e+00
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -1.353e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 1.190e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 2.103e+01
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` -1.540e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` -9.792e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -4.044e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -2.763e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -2.172e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 3.898e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -1.237e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 1.070e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -6.846e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -1.720e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -2.305e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -5.565e+01
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` -2.025e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` -1.209e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -3.964e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` -3.831e+01
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -2.784e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -1.471e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -4.710e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -1.215e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` -2.848e+01
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` -9.482e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -2.932e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` -8.651e+01
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.781e-01
## `prdl.my.descr.fctriPad 1#0:idseq.my` -6.243e-02
## `prdl.my.descr.fctriPad 1#1:idseq.my` -4.500e-02
## `prdl.my.descr.fctriPad 2#0:idseq.my` -7.867e-02
## `prdl.my.descr.fctriPad 2#1:idseq.my` -3.200e-02
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -7.752e-02
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -9.870e-02
## `prdl.my.descr.fctriPadAir#0:idseq.my` -7.689e-02
## `prdl.my.descr.fctriPadAir#1:idseq.my` -1.714e-01
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -1.423e-01
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 4.910e-02
## `prdl.my.descr.fctriPadmini#0:idseq.my` -6.582e-02
## `prdl.my.descr.fctriPadmini#1:idseq.my` -6.796e-02
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.549e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.440e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -1.237e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -2.955e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -4.142e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -1.104e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 6.722e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -5.650e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 9.933e+00
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -1.146e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -6.915e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 4.344e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 2.237e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.007e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 1.605e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -1.381e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.386e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -5.967e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 8.157e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.565e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -6.193e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.877e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 3.752e+00
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 3.917e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -3.563e+00
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 1.716e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 6.133e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -1.407e+01
## Std. Error
## (Intercept) 1.827e+05
## `prdl.my.descr.fctrUnknown#1` 1.510e+03
## `prdl.my.descr.fctriPad 1#0` 9.432e+01
## `prdl.my.descr.fctriPad 1#1` 6.825e+02
## `prdl.my.descr.fctriPad 2#0` 1.080e+02
## `prdl.my.descr.fctriPad 2#1` 6.062e+02
## `prdl.my.descr.fctriPad 3+#0` 4.104e+02
## `prdl.my.descr.fctriPad 3+#1` 7.375e+02
## `prdl.my.descr.fctriPadAir#0` 4.038e+02
## `prdl.my.descr.fctriPadAir#1` 8.058e+02
## `prdl.my.descr.fctriPadmini 2+#0` 4.056e+02
## `prdl.my.descr.fctriPadmini 2+#1` 4.922e+03
## `prdl.my.descr.fctriPadmini#0` 8.177e+01
## `prdl.my.descr.fctriPadmini#1` 3.311e+02
## D.ratio.nstopwrds.nwrds 3.456e+02
## .rnorm 3.240e+00
## D.npnct14.log 4.515e+01
## D.terms.n.stem.stop.Ratio 1.826e+05
## D.ndgts.log 2.902e+01
## D.npnct05.log 1.074e+02
## D.npnct15.log 4.536e+01
## D.npnct12.log 3.218e+01
## D.npnct06.log 1.129e+02
## D.npnct03.log 8.171e+01
## D.npnct11.log 1.929e+01
## D.npnct13.log 2.056e+01
## D.nwrds.log 1.265e+02
## D.terms.n.post.stop.log 2.033e+05
## D.nwrds.unq.log 2.033e+05
## D.terms.n.post.stem.log NA
## D.nuppr.log 2.781e+02
## D.TfIdf.sum.post.stem 1.246e+02
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 1.187e+02
## D.ratio.sum.TfIdf.nwrds 2.586e+01
## D.nchrs.log 3.420e+02
## D.TfIdf.sum.stem.stop.Ratio 8.902e+02
## D.npnct16.log 1.057e+02
## D.npnct01.log 4.756e+01
## D.nstopwrds.log 1.169e+02
## D.npnct08.log 4.220e+02
## D.terms.n.post.stop 1.098e+03
## D.terms.n.post.stem 1.100e+03
## biddable 2.938e+01
## `condition.fctrFor parts or not working` 4.891e+01
## `condition.fctrManufacturer refurbished` 9.197e+01
## condition.fctrNew 3.772e+01
## `condition.fctrNew other (see details)` 7.142e+01
## `condition.fctrSeller refurbished` 6.628e+01
## color.fctrGold 8.428e+02
## `color.fctrSpace Gray` 5.123e+01
## color.fctrUnknown 4.017e+01
## color.fctrWhite 4.579e+01
## storage.fctr16 3.962e+02
## storage.fctr32 4.047e+02
## storage.fctr64 3.999e+02
## storage.fctrUnknown 3.956e+02
## idseq.my 4.326e-02
## cellular.fctr1 1.157e+01
## cellular.fctrUnknown 2.666e+01
## carrier.fctrNone NA
## carrier.fctrOther 8.707e+01
## carrier.fctrSprint 3.054e+01
## `carrier.fctrT-Mobile` 4.175e+01
## carrier.fctrUnknown 1.838e+01
## carrier.fctrVerizon 1.580e+01
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 3.025e+02
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 1.338e+02
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 1.165e+02
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 1.155e+02
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 1.154e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 4.807e+02
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.107e+03
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 5.700e+02
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 5.559e+02
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 5.387e+02
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 6.738e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 4.884e+03
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.267e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 7.655e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.162e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 1.344e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.137e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 5.052e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 3.072e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 6.384e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 1.044e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 1.033e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 8.507e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 5.500e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 1.359e+02
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 6.973e+01
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 6.317e+01
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 6.478e+01
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 6.562e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 4.778e+02
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 4.673e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 4.622e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 4.239e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 4.241e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 4.285e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 1.460e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 1.182e+02
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 7.729e+01
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 8.107e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 8.628e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 1.536e+02
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 1.261e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 1.210e+02
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 7.844e+01
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 8.026e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 8.858e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 1.656e+02
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` 1.759e+02
## `prdl.my.descr.fctriPad 1#0:biddable` 4.084e+01
## `prdl.my.descr.fctriPad 1#1:biddable` 5.100e+01
## `prdl.my.descr.fctriPad 2#0:biddable` 4.002e+01
## `prdl.my.descr.fctriPad 2#1:biddable` 4.195e+01
## `prdl.my.descr.fctriPad 3+#0:biddable` 4.243e+01
## `prdl.my.descr.fctriPad 3+#1:biddable` 4.102e+01
## `prdl.my.descr.fctriPadAir#0:biddable` 3.608e+01
## `prdl.my.descr.fctriPadAir#1:biddable` 5.877e+01
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 4.131e+01
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 1.217e+02
## `prdl.my.descr.fctriPadmini#0:biddable` 3.921e+01
## `prdl.my.descr.fctriPadmini#1:biddable` 5.165e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 1.915e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 7.626e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 7.887e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 6.536e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 7.583e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 6.598e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 7.456e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 6.551e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 7.810e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 1.024e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 3.490e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 6.157e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 6.913e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 1.234e+02
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 1.093e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 1.443e+02
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 1.096e+02
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 1.053e+02
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 1.417e+02
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 1.272e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 1.269e+02
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 1.672e+02
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 9.403e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 9.410e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 4.244e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 4.593e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 4.812e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 1.441e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 1.232e+02
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 1.100e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 9.721e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 9.094e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 1.299e+02
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 7.873e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 9.149e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.115e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 9.643e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 9.473e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 1.412e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 8.916e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 1.010e+02
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 7.865e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 8.672e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 8.957e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 8.891e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 9.120e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 8.869e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.550e+02
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 8.567e+02
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 8.450e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 8.454e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 8.472e+02
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 2.977e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 7.774e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 2.319e+02
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 7.574e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 7.217e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 8.782e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 7.230e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 3.964e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 6.166e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 8.580e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.420e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 4.748e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 5.448e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 4.664e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 5.273e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 4.736e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 5.439e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 6.426e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 7.991e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 6.610e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 2.594e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 4.772e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 6.341e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 1.898e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 6.341e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 7.069e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 5.108e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 6.126e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 5.097e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 6.099e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 6.935e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 8.095e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 6.811e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.531e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 5.892e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 7.603e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 1.176e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 6.779e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 8.391e+01
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 8.686e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 1.045e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 4.048e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 4.042e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 3.972e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 3.998e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 3.982e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 3.359e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 5.163e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 9.739e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 2.602e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 1.078e+02
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 1.162e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 1.219e+02
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 1.378e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 4.136e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 4.125e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 4.064e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 4.109e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 4.075e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 1.051e+02
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 1.385e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 1.885e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 8.768e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 9.925e+01
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 1.081e+02
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 1.266e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 4.092e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 4.070e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 4.012e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 4.075e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 4.026e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 4.856e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 8.183e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 1.145e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 4.068e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 4.089e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 4.365e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 4.072e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` 1.452e-01
## `prdl.my.descr.fctriPad 1#0:idseq.my` 5.094e-02
## `prdl.my.descr.fctriPad 1#1:idseq.my` 5.864e-02
## `prdl.my.descr.fctriPad 2#0:idseq.my` 5.209e-02
## `prdl.my.descr.fctriPad 2#1:idseq.my` 5.625e-02
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 5.096e-02
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 5.423e-02
## `prdl.my.descr.fctriPadAir#0:idseq.my` 4.789e-02
## `prdl.my.descr.fctriPadAir#1:idseq.my` 5.758e-02
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 5.104e-02
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 1.535e-01
## `prdl.my.descr.fctriPadmini#0:idseq.my` 4.973e-02
## `prdl.my.descr.fctriPadmini#1:idseq.my` 5.689e-02
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 1.178e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 4.041e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 3.720e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 3.907e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.926e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 2.353e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 4.943e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 9.694e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 5.083e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 4.983e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 5.258e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 7.497e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 5.820e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 1.390e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 4.566e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 3.683e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 8.550e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 7.179e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 4.839e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 7.223e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 4.934e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 4.633e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 9.113e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 5.447e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 5.688e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 6.827e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 4.617e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 8.284e+01
## t value
## (Intercept) 0.322
## `prdl.my.descr.fctrUnknown#1` -0.704
## `prdl.my.descr.fctriPad 1#0` -0.362
## `prdl.my.descr.fctriPad 1#1` -0.945
## `prdl.my.descr.fctriPad 2#0` 0.219
## `prdl.my.descr.fctriPad 2#1` -0.275
## `prdl.my.descr.fctriPad 3+#0` 0.640
## `prdl.my.descr.fctriPad 3+#1` -0.384
## `prdl.my.descr.fctriPadAir#0` 1.298
## `prdl.my.descr.fctriPadAir#1` 0.936
## `prdl.my.descr.fctriPadmini 2+#0` 1.317
## `prdl.my.descr.fctriPadmini 2+#1` 0.591
## `prdl.my.descr.fctriPadmini#0` 0.683
## `prdl.my.descr.fctriPadmini#1` -0.364
## D.ratio.nstopwrds.nwrds -0.802
## .rnorm 1.140
## D.npnct14.log -0.687
## D.terms.n.stem.stop.Ratio -0.323
## D.ndgts.log -1.304
## D.npnct05.log -0.232
## D.npnct15.log -1.485
## D.npnct12.log 0.045
## D.npnct06.log -0.892
## D.npnct03.log 0.758
## D.npnct11.log -1.331
## D.npnct13.log -0.575
## D.nwrds.log 1.013
## D.terms.n.post.stop.log -0.323
## D.nwrds.unq.log 0.323
## D.terms.n.post.stem.log NA
## D.nuppr.log -0.392
## D.TfIdf.sum.post.stem -0.632
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 0.593
## D.ratio.sum.TfIdf.nwrds -0.038
## D.nchrs.log 0.135
## D.TfIdf.sum.stem.stop.Ratio 0.477
## D.npnct16.log 0.029
## D.npnct01.log -0.164
## D.nstopwrds.log 0.012
## D.npnct08.log -1.519
## D.terms.n.post.stop 0.295
## D.terms.n.post.stem -0.303
## biddable -4.380
## `condition.fctrFor parts or not working` -1.628
## `condition.fctrManufacturer refurbished` 1.101
## condition.fctrNew 1.287
## `condition.fctrNew other (see details)` 0.808
## `condition.fctrSeller refurbished` 0.476
## color.fctrGold 0.861
## `color.fctrSpace Gray` 1.513
## color.fctrUnknown -0.315
## color.fctrWhite 1.660
## storage.fctr16 0.357
## storage.fctr32 0.390
## storage.fctr64 0.544
## storage.fctrUnknown 0.344
## idseq.my 1.389
## cellular.fctr1 0.484
## cellular.fctrUnknown -1.068
## carrier.fctrNone NA
## carrier.fctrOther 0.475
## carrier.fctrSprint -1.980
## `carrier.fctrT-Mobile` 0.404
## carrier.fctrUnknown 0.632
## carrier.fctrVerizon 0.275
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -0.430
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.367
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -0.707
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.190
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -0.451
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -1.227
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.302
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.739
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.489
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.589
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -0.551
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -0.334
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.536
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 1.656
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.430
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -0.133
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.320
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.934
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.710
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -0.759
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.958
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -0.701
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.898
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 1.202
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.416
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -0.214
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.683
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.318
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.821
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 1.126
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 1.842
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 1.592
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 1.447
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 1.519
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 1.769
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 1.776
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.228
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.025
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.426
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.419
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.268
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -1.793
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` -0.291
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.031
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` -0.601
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` -0.279
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -0.092
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` -0.268
## `prdl.my.descr.fctriPad 1#0:biddable` 1.936
## `prdl.my.descr.fctriPad 1#1:biddable` 1.182
## `prdl.my.descr.fctriPad 2#0:biddable` 0.578
## `prdl.my.descr.fctriPad 2#1:biddable` 0.396
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.068
## `prdl.my.descr.fctriPad 3+#1:biddable` -0.230
## `prdl.my.descr.fctriPadAir#0:biddable` -2.140
## `prdl.my.descr.fctriPadAir#1:biddable` 0.609
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -2.195
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.649
## `prdl.my.descr.fctriPadmini#0:biddable` 0.738
## `prdl.my.descr.fctriPadmini#1:biddable` 1.027
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.002
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.430
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.432
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 1.219
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.093
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.366
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.482
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -0.500
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.449
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.717
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.171
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.656
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.053
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -1.305
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -1.053
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -0.710
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -1.253
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.522
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -0.101
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -1.667
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` -0.235
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.166
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.354
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -0.163
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.406
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.491
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.042
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -0.323
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -0.585
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -1.113
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -0.414
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` -0.110
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -0.788
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.515
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -0.780
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.306
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -0.346
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` -0.285
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -1.256
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -0.552
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -0.591
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -0.200
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -0.542
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -1.080
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -0.308
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -2.162
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -0.587
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.075
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -0.850
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` -0.817
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` -0.864
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -0.880
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -0.249
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.009
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -0.255
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.354
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.771
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -3.017
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -1.151
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` -0.568
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -0.935
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -1.057
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.074
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.084
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.443
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -0.650
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -0.266
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -0.443
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -0.468
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 2.295
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -2.282
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -0.262
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` -0.513
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.666
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -0.287
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -0.482
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -1.314
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -1.140
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -1.577
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -0.909
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -1.463
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -1.437
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.616
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -1.766
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -1.386
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.343
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -0.567
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -1.184
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` -0.459
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` -0.022
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -1.225
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.458
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.085
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` -0.391
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` -0.191
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -1.010
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -0.529
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -0.713
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -0.843
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -0.530
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` -0.412
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -0.524
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` -0.073
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -1.164
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.098
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.153
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` -0.372
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` -0.237
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -0.995
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -0.673
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -0.533
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.371
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -0.893
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.568
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -0.781
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -1.733
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -0.213
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -0.440
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` -0.495
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` -0.297
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -0.988
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` -0.094
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -0.691
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -0.303
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -0.576
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -1.061
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` -0.070
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` -0.232
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -0.672
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` -0.212
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.227
## `prdl.my.descr.fctriPad 1#0:idseq.my` -1.226
## `prdl.my.descr.fctriPad 1#1:idseq.my` -0.767
## `prdl.my.descr.fctriPad 2#0:idseq.my` -1.510
## `prdl.my.descr.fctriPad 2#1:idseq.my` -0.569
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -1.521
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -1.820
## `prdl.my.descr.fctriPadAir#0:idseq.my` -1.605
## `prdl.my.descr.fctriPadAir#1:idseq.my` -2.977
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -2.788
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.320
## `prdl.my.descr.fctriPadmini#0:idseq.my` -1.323
## `prdl.my.descr.fctriPadmini#1:idseq.my` -1.195
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.356
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.332
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.756
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.416
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -0.469
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 1.360
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.583
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.195
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -0.230
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.315
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.579
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.384
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.444
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.352
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -0.375
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -0.864
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -0.831
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.686
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.355
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -1.255
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.621
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.041
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.719
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.063
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.251
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 1.328
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -0.170
## Pr(>|t|)
## (Intercept) 0.74769
## `prdl.my.descr.fctrUnknown#1` 0.48195
## `prdl.my.descr.fctriPad 1#0` 0.71715
## `prdl.my.descr.fctriPad 1#1` 0.34528
## `prdl.my.descr.fctriPad 2#0` 0.82649
## `prdl.my.descr.fctriPad 2#1` 0.78333
## `prdl.my.descr.fctriPad 3+#0` 0.52223
## `prdl.my.descr.fctriPad 3+#1` 0.70076
## `prdl.my.descr.fctriPadAir#0` 0.19474
## `prdl.my.descr.fctriPadAir#1` 0.34959
## `prdl.my.descr.fctriPadmini 2+#0` 0.18830
## `prdl.my.descr.fctriPadmini 2+#1` 0.55474
## `prdl.my.descr.fctriPadmini#0` 0.49465
## `prdl.my.descr.fctriPadmini#1` 0.71613
## D.ratio.nstopwrds.nwrds 0.42291
## .rnorm 0.25493
## D.npnct14.log 0.49242
## D.terms.n.stem.stop.Ratio 0.74687
## D.ndgts.log 0.19292
## D.npnct05.log 0.81630
## D.npnct15.log 0.13818
## D.npnct12.log 0.96396
## D.npnct06.log 0.37288
## D.npnct03.log 0.44853
## D.npnct11.log 0.18362
## D.npnct13.log 0.56566
## D.nwrds.log 0.31170
## D.terms.n.post.stop.log 0.74686
## D.nwrds.unq.log 0.74673
## D.terms.n.post.stem.log NA
## D.nuppr.log 0.69531
## D.TfIdf.sum.post.stem 0.52776
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 0.55361
## D.ratio.sum.TfIdf.nwrds 0.96943
## D.nchrs.log 0.89295
## D.TfIdf.sum.stem.stop.Ratio 0.63348
## D.npnct16.log 0.97722
## D.npnct01.log 0.87002
## D.nstopwrds.log 0.99009
## D.npnct08.log 0.12939
## D.terms.n.post.stop 0.76822
## D.terms.n.post.stem 0.76169
## biddable 1.42e-05
## `condition.fctrFor parts or not working` 0.10398
## `condition.fctrManufacturer refurbished` 0.27132
## condition.fctrNew 0.19872
## `condition.fctrNew other (see details)` 0.41963
## `condition.fctrSeller refurbished` 0.63401
## color.fctrGold 0.38983
## `color.fctrSpace Gray` 0.13072
## color.fctrUnknown 0.75280
## color.fctrWhite 0.09738
## storage.fctr16 0.72138
## storage.fctr32 0.69704
## storage.fctr64 0.58655
## storage.fctrUnknown 0.73090
## idseq.my 0.16527
## cellular.fctr1 0.62890
## cellular.fctrUnknown 0.28602
## carrier.fctrNone NA
## carrier.fctrOther 0.63487
## carrier.fctrSprint 0.04820
## `carrier.fctrT-Mobile` 0.68636
## carrier.fctrUnknown 0.52739
## carrier.fctrVerizon 0.78345
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 0.66754
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.71390
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 0.47983
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.84919
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 0.65191
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 0.22027
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.19330
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.46005
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.62511
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.55588
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 0.58205
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 0.73831
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.12498
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.09825
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.15326
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 0.89444
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.18733
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.35086
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.47823
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 0.44842
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.33842
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 0.48376
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.36975
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 0.22988
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.67793
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 0.83057
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.49518
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.75056
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.41186
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 0.26074
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 0.06597
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 0.11196
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 0.14842
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 0.12935
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 0.07743
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 0.07623
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.82005
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.98029
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.67052
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.67542
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.78845
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 0.07357
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 0.77117
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.97489
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.54829
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.78019
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 0.92699
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` 0.78904
## `prdl.my.descr.fctriPad 1#0:biddable` 0.05334
## `prdl.my.descr.fctriPad 1#1:biddable` 0.23782
## `prdl.my.descr.fctriPad 2#0:biddable` 0.56334
## `prdl.my.descr.fctriPad 2#1:biddable` 0.69219
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.94610
## `prdl.my.descr.fctriPad 3+#1:biddable` 0.81829
## `prdl.my.descr.fctriPadAir#0:biddable` 0.03279
## `prdl.my.descr.fctriPadAir#1:biddable` 0.54272
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 0.02854
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.51638
## `prdl.my.descr.fctriPadmini#0:biddable` 0.46052
## `prdl.my.descr.fctriPadmini#1:biddable` 0.30501
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.99864
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.66758
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.66579
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 0.22333
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.92616
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.71442
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.63027
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 0.61704
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.65368
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.47348
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.86405
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.51190
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.95765
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 0.19253
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 0.29257
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 0.47823
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 0.21085
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 0.12851
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 0.91947
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 0.09617
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.81449
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.86844
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.72365
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 0.87079
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.68483
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.62340
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.96630
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 0.74679
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 0.55892
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 0.26619
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 0.67916
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.91238
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 0.43114
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.60663
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 0.43543
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.19216
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 0.72912
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.77602
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 0.20954
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 0.58128
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 0.55492
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 0.84170
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 0.58825
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 0.28058
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 0.75824
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 0.03101
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 0.55724
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 0.28293
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 0.39585
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.41444
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.38798
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 0.37919
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 0.80383
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.99293
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 0.79861
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.72363
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.44093
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 0.00267
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 0.25040
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.57016
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 0.35002
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 0.29105
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 0.28316
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.93345
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.65761
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 0.51569
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 0.79072
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 0.65780
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 0.64001
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 0.02211
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 0.02288
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 0.79329
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.60781
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.50543
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 0.77393
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 0.63034
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 0.18929
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 0.25489
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 0.11531
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 0.36354
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 0.14409
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 0.15133
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.53837
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 0.07801
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 0.16635
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 0.17966
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 0.57099
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 0.23685
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.64640
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.98259
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 0.22119
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.64719
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.93207
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.69615
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.84844
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 0.31276
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 0.59690
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 0.47587
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 0.39947
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 0.59611
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.68038
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 0.60061
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.94150
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 0.24490
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.92228
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.87875
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.70977
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.81247
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 0.32013
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 0.50148
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 0.59422
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.71096
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 0.37227
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.57041
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 0.43523
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 0.08372
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 0.83130
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 0.66045
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.62094
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.76643
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 0.32350
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 0.92514
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 0.48958
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 0.76208
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 0.56513
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 0.28909
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 0.94421
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.81670
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 0.50200
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.83182
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.22049
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.22087
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.44319
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.13154
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.56962
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.12874
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.06928
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.10896
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.00303
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.00549
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.74920
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.18622
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.23276
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 0.03085
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 0.72172
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.73964
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 0.44973
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.15741
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.63918
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 0.17442
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 0.56025
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.84515
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.81824
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 0.18898
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.56256
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.70086
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 0.14936
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.72530
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.70783
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 0.38802
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 0.40624
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.09240
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.72260
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 0.20987
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.53482
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.96718
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.47233
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.95008
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.80166
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 0.18464
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.86519
##
## (Intercept)
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0`
## `prdl.my.descr.fctriPad 1#1`
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0`
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0`
## `prdl.my.descr.fctriPadAir#1`
## `prdl.my.descr.fctriPadmini 2+#0`
## `prdl.my.descr.fctriPadmini 2+#1`
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## D.ratio.nstopwrds.nwrds
## .rnorm
## D.npnct14.log
## D.terms.n.stem.stop.Ratio
## D.ndgts.log
## D.npnct05.log
## D.npnct15.log
## D.npnct12.log
## D.npnct06.log
## D.npnct03.log
## D.npnct11.log
## D.npnct13.log
## D.nwrds.log
## D.terms.n.post.stop.log
## D.nwrds.unq.log
## D.terms.n.post.stem.log
## D.nuppr.log
## D.TfIdf.sum.post.stem
## D.sum.TfIdf
## D.npnct24.log
## D.TfIdf.sum.post.stop
## D.ratio.sum.TfIdf.nwrds
## D.nchrs.log
## D.TfIdf.sum.stem.stop.Ratio
## D.npnct16.log
## D.npnct01.log
## D.nstopwrds.log
## D.npnct08.log
## D.terms.n.post.stop
## D.terms.n.post.stem
## biddable ***
## `condition.fctrFor parts or not working`
## `condition.fctrManufacturer refurbished`
## condition.fctrNew
## `condition.fctrNew other (see details)`
## `condition.fctrSeller refurbished`
## color.fctrGold
## `color.fctrSpace Gray`
## color.fctrUnknown
## color.fctrWhite .
## storage.fctr16
## storage.fctr32
## storage.fctr64
## storage.fctrUnknown
## idseq.my
## cellular.fctr1
## cellular.fctrUnknown
## carrier.fctrNone
## carrier.fctrOther
## carrier.fctrSprint *
## `carrier.fctrT-Mobile`
## carrier.fctrUnknown
## carrier.fctrVerizon
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log`
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` .
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log`
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` .
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` .
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` .
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` .
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem`
## `prdl.my.descr.fctrUnknown#1:biddable`
## `prdl.my.descr.fctriPad 1#0:biddable` .
## `prdl.my.descr.fctriPad 1#1:biddable`
## `prdl.my.descr.fctriPad 2#0:biddable`
## `prdl.my.descr.fctriPad 2#1:biddable`
## `prdl.my.descr.fctriPad 3+#0:biddable`
## `prdl.my.descr.fctriPad 3+#1:biddable`
## `prdl.my.descr.fctriPadAir#0:biddable` *
## `prdl.my.descr.fctriPadAir#1:biddable`
## `prdl.my.descr.fctriPadmini 2+#0:biddable` *
## `prdl.my.descr.fctriPadmini 2+#1:biddable`
## `prdl.my.descr.fctriPadmini#0:biddable`
## `prdl.my.descr.fctriPadmini#1:biddable`
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` .
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` *
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctrUnknown#1:color.fctrGold`
## `prdl.my.descr.fctriPad 1#0:color.fctrGold`
## `prdl.my.descr.fctriPad 1#1:color.fctrGold`
## `prdl.my.descr.fctriPad 2#0:color.fctrGold`
## `prdl.my.descr.fctriPad 2#1:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold`
## `prdl.my.descr.fctriPadAir#0:color.fctrGold`
## `prdl.my.descr.fctriPadAir#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini#1:color.fctrGold`
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` **
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray`
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` *
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` *
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` .
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite`
## `prdl.my.descr.fctrUnknown#1:storage.fctr16`
## `prdl.my.descr.fctriPad 1#0:storage.fctr16`
## `prdl.my.descr.fctriPad 1#1:storage.fctr16`
## `prdl.my.descr.fctriPad 2#0:storage.fctr16`
## `prdl.my.descr.fctriPad 2#1:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16`
## `prdl.my.descr.fctriPadAir#0:storage.fctr16`
## `prdl.my.descr.fctriPadAir#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini#1:storage.fctr16`
## `prdl.my.descr.fctrUnknown#1:storage.fctr32`
## `prdl.my.descr.fctriPad 1#0:storage.fctr32`
## `prdl.my.descr.fctriPad 1#1:storage.fctr32`
## `prdl.my.descr.fctriPad 2#0:storage.fctr32`
## `prdl.my.descr.fctriPad 2#1:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32`
## `prdl.my.descr.fctriPadAir#0:storage.fctr32`
## `prdl.my.descr.fctriPadAir#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini#1:storage.fctr32`
## `prdl.my.descr.fctrUnknown#1:storage.fctr64`
## `prdl.my.descr.fctriPad 1#0:storage.fctr64`
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` .
## `prdl.my.descr.fctriPad 2#0:storage.fctr64`
## `prdl.my.descr.fctriPad 2#1:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64`
## `prdl.my.descr.fctriPadAir#0:storage.fctr64`
## `prdl.my.descr.fctriPadAir#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini#1:storage.fctr64`
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:idseq.my`
## `prdl.my.descr.fctriPad 1#0:idseq.my`
## `prdl.my.descr.fctriPad 1#1:idseq.my`
## `prdl.my.descr.fctriPad 2#0:idseq.my`
## `prdl.my.descr.fctriPad 2#1:idseq.my`
## `prdl.my.descr.fctriPad 3+#0:idseq.my`
## `prdl.my.descr.fctriPad 3+#1:idseq.my` .
## `prdl.my.descr.fctriPadAir#0:idseq.my`
## `prdl.my.descr.fctriPadAir#1:idseq.my` **
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` **
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my`
## `prdl.my.descr.fctriPadmini#0:idseq.my`
## `prdl.my.descr.fctriPadmini#1:idseq.my`
## `cellular.fctr1:carrier.fctrNone`
## `cellular.fctrUnknown:carrier.fctrNone`
## `cellular.fctr1:carrier.fctrOther`
## `cellular.fctrUnknown:carrier.fctrOther`
## `cellular.fctr1:carrier.fctrSprint`
## `cellular.fctrUnknown:carrier.fctrSprint`
## `cellular.fctr1:carrier.fctrT-Mobile`
## `cellular.fctrUnknown:carrier.fctrT-Mobile`
## `cellular.fctr1:carrier.fctrUnknown`
## `cellular.fctrUnknown:carrier.fctrUnknown`
## `cellular.fctr1:carrier.fctrVerizon`
## `cellular.fctrUnknown:carrier.fctrVerizon`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` *
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` .
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 79.32 on 566 degrees of freedom
## Multiple R-squared: 0.7589, Adjusted R-squared: 0.6341
## F-statistic: 6.08 on 293 and 566 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## [1] " calling mypredict_mdl for OOB:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## model_id model_method
## 1 All.Interact.X.lm lm
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 2.571 0.345
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Adj.R.sq.fit
## 1 0.7588767 140.3521 0.2722915 181.6504 0.6340549
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.2997963 24.84236 0.1183708
## label step_major step_minor bgn end elapsed
## 8 fit.models_1_lm 8 0 190.909 196.307 5.398
## 9 fit.models_1_glm 9 0 196.307 NA NA
## [1] "fitting model: All.Interact.X.glm"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 15, 19, 21, 30, 48, 64, 118, 153, 156, 189, 204, 347, 355, 361, 383, 386, 391, 393, 394, 399, 403, 435, 442, 449, 453, 476, 490, 494, 495, 506, 515, 532, 579, 597, 605, 640, 642, 651, 665, 669, 702, 703, 718, 760, 799, 807, 816, 817, 824, 834, 850, 856
## Warning: not plotting observations with leverage one:
## 15, 19, 21, 30, 48, 64, 118, 153, 156, 189, 204, 347, 355, 361, 383, 386, 391, 393, 394, 399, 403, 435, 442, 449, 453, 476, 490, 494, 495, 506, 515, 532, 579, 597, 605, 640, 642, 651, 665, 669, 702, 703, 718, 760, 799, 807, 816, 817, 824, 834, 850, 856
## Warning in sqrt(crit * p * (1 - hh)/hh): NaNs produced## Warning in sqrt(crit * p * (1 - hh)/hh): NaNs produced##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -258.69 -26.52 0.00 26.06 365.54
##
## Coefficients: (168 not defined because of singularities)
## Estimate
## (Intercept) 5.880e+04
## `prdl.my.descr.fctrUnknown#1` -1.062e+03
## `prdl.my.descr.fctriPad 1#0` -3.419e+01
## `prdl.my.descr.fctriPad 1#1` -6.447e+02
## `prdl.my.descr.fctriPad 2#0` 2.368e+01
## `prdl.my.descr.fctriPad 2#1` -1.668e+02
## `prdl.my.descr.fctriPad 3+#0` 2.628e+02
## `prdl.my.descr.fctriPad 3+#1` -2.836e+02
## `prdl.my.descr.fctriPadAir#0` 5.242e+02
## `prdl.my.descr.fctriPadAir#1` 7.543e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.342e+02
## `prdl.my.descr.fctriPadmini 2+#1` 2.909e+03
## `prdl.my.descr.fctriPadmini#0` 5.588e+01
## `prdl.my.descr.fctriPadmini#1` -1.205e+02
## D.ratio.nstopwrds.nwrds -2.771e+02
## .rnorm 3.693e+00
## D.npnct14.log -3.101e+01
## D.terms.n.stem.stop.Ratio -5.896e+04
## D.ndgts.log -3.783e+01
## D.npnct05.log -2.496e+01
## D.npnct15.log -6.734e+01
## D.npnct12.log 1.455e+00
## D.npnct06.log -1.007e+02
## D.npnct03.log 6.197e+01
## D.npnct11.log -2.568e+01
## D.npnct13.log -1.182e+01
## D.nwrds.log 1.280e+02
## D.terms.n.post.stop.log -6.566e+04
## D.nwrds.unq.log 6.570e+04
## D.terms.n.post.stem.log NA
## D.nuppr.log -1.090e+02
## D.TfIdf.sum.post.stem -7.870e+01
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 7.036e+01
## D.ratio.sum.TfIdf.nwrds -9.915e-01
## D.nchrs.log 4.604e+01
## D.TfIdf.sum.stem.stop.Ratio 4.247e+02
## D.npnct16.log 3.019e+00
## D.npnct01.log -7.786e+00
## D.nstopwrds.log 1.454e+00
## D.npnct08.log -6.409e+02
## D.terms.n.post.stop 3.237e+02
## D.terms.n.post.stem -3.337e+02
## biddable -1.287e+02
## `condition.fctrFor parts or not working` -7.964e+01
## `condition.fctrManufacturer refurbished` 1.013e+02
## condition.fctrNew 4.853e+01
## `condition.fctrNew other (see details)` 5.768e+01
## `condition.fctrSeller refurbished` 3.157e+01
## color.fctrGold 7.253e+02
## `color.fctrSpace Gray` 7.754e+01
## color.fctrUnknown -1.266e+01
## color.fctrWhite 7.603e+01
## storage.fctr16 1.414e+02
## storage.fctr32 1.576e+02
## storage.fctr64 2.176e+02
## storage.fctrUnknown 1.361e+02
## idseq.my 6.010e-02
## cellular.fctr1 5.595e+00
## cellular.fctrUnknown -2.847e+01
## carrier.fctrNone NA
## carrier.fctrOther 4.137e+01
## carrier.fctrSprint -6.046e+01
## `carrier.fctrT-Mobile` 1.687e+01
## carrier.fctrUnknown 1.162e+01
## carrier.fctrVerizon 4.344e+00
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -1.300e+02
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 4.906e+01
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -8.236e+01
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 2.198e+01
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -5.208e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -5.899e+02
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.441e+03
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 4.214e+02
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 2.718e+02
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 3.175e+02
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -3.711e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -1.632e+03
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.947e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 1.268e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.662e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -1.784e+01
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.500e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 4.717e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 2.180e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -4.843e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 1.000e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -7.239e+01
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 7.636e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 6.611e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 5.646e+01
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -1.493e+01
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 4.311e+01
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 2.060e+01
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 5.389e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 5.379e+02
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 8.610e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 7.357e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 6.135e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 6.441e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 7.580e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 2.593e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 2.691e+01
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 1.911e+00
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 3.451e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 3.615e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 4.122e+01
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -2.260e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` -3.522e+01
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 2.471e+00
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` -4.821e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` -2.473e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -1.518e+01
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` -4.707e+01
## `prdl.my.descr.fctriPad 1#0:biddable` 7.907e+01
## `prdl.my.descr.fctriPad 1#1:biddable` 6.027e+01
## `prdl.my.descr.fctriPad 2#0:biddable` 2.314e+01
## `prdl.my.descr.fctriPad 2#1:biddable` 1.661e+01
## `prdl.my.descr.fctriPad 3+#0:biddable` 2.870e+00
## `prdl.my.descr.fctriPad 3+#1:biddable` -9.429e+00
## `prdl.my.descr.fctriPadAir#0:biddable` -7.721e+01
## `prdl.my.descr.fctriPadAir#1:biddable` 3.580e+01
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -9.069e+01
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 7.903e+01
## `prdl.my.descr.fctriPadmini#0:biddable` 2.895e+01
## `prdl.my.descr.fctriPadmini#1:biddable` 5.303e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 3.274e-01
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 3.277e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 3.408e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 7.968e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 7.030e+00
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 2.415e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 3.591e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -3.278e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 3.506e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 7.343e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 5.979e+01
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 4.041e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 3.672e+00
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -1.610e+02
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -1.151e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -1.024e+02
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -1.373e+02
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.603e+02
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -1.434e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -2.120e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` -2.978e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 2.771e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 3.326e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -1.531e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 1.724e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 2.257e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 2.034e+00
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -4.656e+01
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -7.203e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -1.224e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -4.023e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` -1.001e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -1.024e+02
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 4.056e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -7.141e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.456e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -3.341e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` -2.696e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -1.774e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -4.920e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -5.969e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -1.572e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -4.698e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -9.674e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -2.738e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -1.972e+02
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -5.209e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.666e+02
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -7.280e+02
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` -6.901e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` -7.304e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -7.456e+02
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -7.399e+01
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 6.887e-01
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -5.919e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 2.680e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 5.566e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -2.649e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -8.319e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` -2.252e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -5.767e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -9.068e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.525e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 3.966e+00
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 2.416e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -3.034e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -1.400e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -2.099e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -2.545e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 1.475e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -1.823e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -1.733e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` -1.332e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 3.180e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -1.822e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -9.137e+01
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -8.334e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -8.056e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -8.056e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -5.571e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -7.455e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -8.763e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 4.270e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -1.429e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -9.440e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 2.057e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -3.340e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -9.003e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` -5.397e+01
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` -1.480e+00
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -1.028e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 3.978e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 8.914e+00
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` -1.582e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` -7.728e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -4.013e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -2.115e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -2.841e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -2.833e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -2.738e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` -4.014e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -1.363e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` -7.915e+00
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -1.353e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 1.190e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 2.103e+01
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` -1.540e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` -9.792e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -4.044e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -2.763e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -2.172e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 3.898e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -1.237e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 1.070e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -6.846e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -1.720e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -2.305e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -5.565e+01
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` -2.025e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` -1.209e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -3.964e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` -3.831e+01
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -2.784e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -1.471e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -4.710e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -1.215e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` -2.848e+01
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` -9.482e+01
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -2.932e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` -8.651e+01
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.781e-01
## `prdl.my.descr.fctriPad 1#0:idseq.my` -6.243e-02
## `prdl.my.descr.fctriPad 1#1:idseq.my` -4.500e-02
## `prdl.my.descr.fctriPad 2#0:idseq.my` -7.867e-02
## `prdl.my.descr.fctriPad 2#1:idseq.my` -3.200e-02
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -7.752e-02
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -9.870e-02
## `prdl.my.descr.fctriPadAir#0:idseq.my` -7.689e-02
## `prdl.my.descr.fctriPadAir#1:idseq.my` -1.714e-01
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -1.423e-01
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 4.910e-02
## `prdl.my.descr.fctriPadmini#0:idseq.my` -6.582e-02
## `prdl.my.descr.fctriPadmini#1:idseq.my` -6.796e-02
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.549e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.440e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -1.237e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -2.955e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -4.142e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -1.104e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 6.722e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -5.650e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 9.933e+00
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -1.146e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -6.915e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 4.344e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 2.237e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.007e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 1.605e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -1.381e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.386e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -5.967e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 8.157e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.565e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -6.193e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.877e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 3.752e+00
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 3.917e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -3.563e+00
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 1.716e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 6.133e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -1.407e+01
## Std. Error
## (Intercept) 1.827e+05
## `prdl.my.descr.fctrUnknown#1` 1.510e+03
## `prdl.my.descr.fctriPad 1#0` 9.432e+01
## `prdl.my.descr.fctriPad 1#1` 6.825e+02
## `prdl.my.descr.fctriPad 2#0` 1.080e+02
## `prdl.my.descr.fctriPad 2#1` 6.062e+02
## `prdl.my.descr.fctriPad 3+#0` 4.104e+02
## `prdl.my.descr.fctriPad 3+#1` 7.375e+02
## `prdl.my.descr.fctriPadAir#0` 4.038e+02
## `prdl.my.descr.fctriPadAir#1` 8.058e+02
## `prdl.my.descr.fctriPadmini 2+#0` 4.056e+02
## `prdl.my.descr.fctriPadmini 2+#1` 4.922e+03
## `prdl.my.descr.fctriPadmini#0` 8.177e+01
## `prdl.my.descr.fctriPadmini#1` 3.311e+02
## D.ratio.nstopwrds.nwrds 3.456e+02
## .rnorm 3.240e+00
## D.npnct14.log 4.515e+01
## D.terms.n.stem.stop.Ratio 1.826e+05
## D.ndgts.log 2.902e+01
## D.npnct05.log 1.074e+02
## D.npnct15.log 4.536e+01
## D.npnct12.log 3.218e+01
## D.npnct06.log 1.129e+02
## D.npnct03.log 8.171e+01
## D.npnct11.log 1.929e+01
## D.npnct13.log 2.056e+01
## D.nwrds.log 1.265e+02
## D.terms.n.post.stop.log 2.033e+05
## D.nwrds.unq.log 2.033e+05
## D.terms.n.post.stem.log NA
## D.nuppr.log 2.781e+02
## D.TfIdf.sum.post.stem 1.246e+02
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 1.187e+02
## D.ratio.sum.TfIdf.nwrds 2.586e+01
## D.nchrs.log 3.420e+02
## D.TfIdf.sum.stem.stop.Ratio 8.902e+02
## D.npnct16.log 1.057e+02
## D.npnct01.log 4.756e+01
## D.nstopwrds.log 1.169e+02
## D.npnct08.log 4.220e+02
## D.terms.n.post.stop 1.098e+03
## D.terms.n.post.stem 1.100e+03
## biddable 2.938e+01
## `condition.fctrFor parts or not working` 4.891e+01
## `condition.fctrManufacturer refurbished` 9.197e+01
## condition.fctrNew 3.772e+01
## `condition.fctrNew other (see details)` 7.142e+01
## `condition.fctrSeller refurbished` 6.628e+01
## color.fctrGold 8.428e+02
## `color.fctrSpace Gray` 5.123e+01
## color.fctrUnknown 4.017e+01
## color.fctrWhite 4.579e+01
## storage.fctr16 3.962e+02
## storage.fctr32 4.047e+02
## storage.fctr64 3.999e+02
## storage.fctrUnknown 3.956e+02
## idseq.my 4.326e-02
## cellular.fctr1 1.157e+01
## cellular.fctrUnknown 2.666e+01
## carrier.fctrNone NA
## carrier.fctrOther 8.707e+01
## carrier.fctrSprint 3.054e+01
## `carrier.fctrT-Mobile` 4.175e+01
## carrier.fctrUnknown 1.838e+01
## carrier.fctrVerizon 1.580e+01
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 3.025e+02
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 1.338e+02
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 1.165e+02
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 1.155e+02
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 1.154e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 4.807e+02
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.107e+03
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 5.700e+02
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 5.559e+02
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 5.387e+02
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 6.738e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 4.884e+03
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.267e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 7.655e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.162e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 1.344e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.137e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 5.052e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 3.072e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 6.384e+01
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 1.044e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 1.033e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 8.507e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 5.500e+02
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 1.359e+02
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 6.973e+01
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 6.317e+01
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 6.478e+01
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 6.562e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 4.778e+02
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 4.673e+02
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 4.622e+02
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 4.239e+02
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 4.241e+02
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 4.285e+02
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 1.460e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 1.182e+02
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 7.729e+01
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 8.107e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 8.628e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 1.536e+02
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 1.261e+02
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 1.210e+02
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 7.844e+01
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 8.026e+01
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 8.858e+01
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 1.656e+02
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` 1.759e+02
## `prdl.my.descr.fctriPad 1#0:biddable` 4.084e+01
## `prdl.my.descr.fctriPad 1#1:biddable` 5.100e+01
## `prdl.my.descr.fctriPad 2#0:biddable` 4.002e+01
## `prdl.my.descr.fctriPad 2#1:biddable` 4.195e+01
## `prdl.my.descr.fctriPad 3+#0:biddable` 4.243e+01
## `prdl.my.descr.fctriPad 3+#1:biddable` 4.102e+01
## `prdl.my.descr.fctriPadAir#0:biddable` 3.608e+01
## `prdl.my.descr.fctriPadAir#1:biddable` 5.877e+01
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 4.131e+01
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 1.217e+02
## `prdl.my.descr.fctriPadmini#0:biddable` 3.921e+01
## `prdl.my.descr.fctriPadmini#1:biddable` 5.165e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 1.915e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 7.626e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 7.887e+01
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 6.536e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 7.583e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 6.598e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 7.456e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 6.551e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 7.810e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 1.024e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 3.490e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 6.157e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 6.913e+01
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 1.234e+02
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 1.093e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 1.443e+02
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 1.096e+02
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 1.053e+02
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 1.417e+02
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 1.272e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 1.269e+02
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 1.672e+02
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 9.403e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 9.410e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 4.244e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 4.593e+01
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 4.812e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 1.441e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 1.232e+02
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 1.100e+02
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 9.721e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 9.094e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 1.299e+02
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 7.873e+01
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 9.149e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.115e+02
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 9.643e+02
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 9.473e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 1.412e+02
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 8.916e+01
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 1.010e+02
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 7.865e+01
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 8.672e+01
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 8.957e+01
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 8.891e+01
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 9.120e+01
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 8.869e+01
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.550e+02
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 8.567e+02
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 8.450e+02
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 8.454e+02
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 8.472e+02
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 2.977e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 7.774e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 2.319e+02
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 7.574e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 7.217e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 8.782e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 7.230e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 3.964e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 6.166e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 8.580e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.420e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 4.748e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 5.448e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 4.664e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 5.273e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 4.736e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 5.439e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 6.426e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 7.991e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 6.610e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 2.594e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 4.772e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 6.341e+01
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 1.898e+02
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 6.341e+01
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 7.069e+01
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 5.108e+01
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 6.126e+01
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 5.097e+01
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 6.099e+01
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 6.935e+01
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 8.095e+01
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 6.811e+01
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.531e+02
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 5.892e+01
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 7.603e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 1.176e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 6.779e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 8.391e+01
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 8.686e+01
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 1.045e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 4.048e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 4.042e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 3.972e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 3.998e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 3.982e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 3.359e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 5.163e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 9.739e+01
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 2.602e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 1.078e+02
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 1.162e+02
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 1.219e+02
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 1.378e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 4.136e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 4.125e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 4.064e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 4.109e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 4.075e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 1.051e+02
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 1.385e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 1.885e+02
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 8.768e+01
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 9.925e+01
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 1.081e+02
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 1.266e+02
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 4.092e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 4.070e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 4.012e+02
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 4.075e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 4.026e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 4.856e+02
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 8.183e+01
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 1.145e+02
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 4.068e+02
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 4.089e+02
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 4.365e+02
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 4.072e+02
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` 1.452e-01
## `prdl.my.descr.fctriPad 1#0:idseq.my` 5.094e-02
## `prdl.my.descr.fctriPad 1#1:idseq.my` 5.864e-02
## `prdl.my.descr.fctriPad 2#0:idseq.my` 5.209e-02
## `prdl.my.descr.fctriPad 2#1:idseq.my` 5.625e-02
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 5.096e-02
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 5.423e-02
## `prdl.my.descr.fctriPadAir#0:idseq.my` 4.789e-02
## `prdl.my.descr.fctriPadAir#1:idseq.my` 5.758e-02
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 5.104e-02
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 1.535e-01
## `prdl.my.descr.fctriPadmini#0:idseq.my` 4.973e-02
## `prdl.my.descr.fctriPadmini#1:idseq.my` 5.689e-02
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 1.178e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 4.041e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 3.720e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 3.907e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.926e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 2.353e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 4.943e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 9.694e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 5.083e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 4.983e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 5.258e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 7.497e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 5.820e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 1.390e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 4.566e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 3.683e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 8.550e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 7.179e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 4.839e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 7.223e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 4.934e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 4.633e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 9.113e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 5.447e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 5.688e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 6.827e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 4.617e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 8.284e+01
## t value
## (Intercept) 0.322
## `prdl.my.descr.fctrUnknown#1` -0.704
## `prdl.my.descr.fctriPad 1#0` -0.362
## `prdl.my.descr.fctriPad 1#1` -0.945
## `prdl.my.descr.fctriPad 2#0` 0.219
## `prdl.my.descr.fctriPad 2#1` -0.275
## `prdl.my.descr.fctriPad 3+#0` 0.640
## `prdl.my.descr.fctriPad 3+#1` -0.384
## `prdl.my.descr.fctriPadAir#0` 1.298
## `prdl.my.descr.fctriPadAir#1` 0.936
## `prdl.my.descr.fctriPadmini 2+#0` 1.317
## `prdl.my.descr.fctriPadmini 2+#1` 0.591
## `prdl.my.descr.fctriPadmini#0` 0.683
## `prdl.my.descr.fctriPadmini#1` -0.364
## D.ratio.nstopwrds.nwrds -0.802
## .rnorm 1.140
## D.npnct14.log -0.687
## D.terms.n.stem.stop.Ratio -0.323
## D.ndgts.log -1.304
## D.npnct05.log -0.232
## D.npnct15.log -1.485
## D.npnct12.log 0.045
## D.npnct06.log -0.892
## D.npnct03.log 0.758
## D.npnct11.log -1.331
## D.npnct13.log -0.575
## D.nwrds.log 1.013
## D.terms.n.post.stop.log -0.323
## D.nwrds.unq.log 0.323
## D.terms.n.post.stem.log NA
## D.nuppr.log -0.392
## D.TfIdf.sum.post.stem -0.632
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 0.593
## D.ratio.sum.TfIdf.nwrds -0.038
## D.nchrs.log 0.135
## D.TfIdf.sum.stem.stop.Ratio 0.477
## D.npnct16.log 0.029
## D.npnct01.log -0.164
## D.nstopwrds.log 0.012
## D.npnct08.log -1.519
## D.terms.n.post.stop 0.295
## D.terms.n.post.stem -0.303
## biddable -4.380
## `condition.fctrFor parts or not working` -1.628
## `condition.fctrManufacturer refurbished` 1.101
## condition.fctrNew 1.287
## `condition.fctrNew other (see details)` 0.808
## `condition.fctrSeller refurbished` 0.476
## color.fctrGold 0.861
## `color.fctrSpace Gray` 1.513
## color.fctrUnknown -0.315
## color.fctrWhite 1.660
## storage.fctr16 0.357
## storage.fctr32 0.390
## storage.fctr64 0.544
## storage.fctrUnknown 0.344
## idseq.my 1.389
## cellular.fctr1 0.484
## cellular.fctrUnknown -1.068
## carrier.fctrNone NA
## carrier.fctrOther 0.475
## carrier.fctrSprint -1.980
## `carrier.fctrT-Mobile` 0.404
## carrier.fctrUnknown 0.632
## carrier.fctrVerizon 0.275
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -0.430
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.367
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -0.707
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.190
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -0.451
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -1.227
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 1.302
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.739
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.489
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.589
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -0.551
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -0.334
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 1.536
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 1.656
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 1.430
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -0.133
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 1.320
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.934
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.710
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -0.759
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.958
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -0.701
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.898
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 1.202
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.416
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -0.214
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.683
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.318
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.821
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 1.126
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 1.842
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 1.592
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 1.447
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 1.519
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 1.769
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 1.776
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.228
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.025
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.426
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.419
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.268
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -1.793
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` -0.291
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.031
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` -0.601
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` -0.279
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -0.092
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` -0.268
## `prdl.my.descr.fctriPad 1#0:biddable` 1.936
## `prdl.my.descr.fctriPad 1#1:biddable` 1.182
## `prdl.my.descr.fctriPad 2#0:biddable` 0.578
## `prdl.my.descr.fctriPad 2#1:biddable` 0.396
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.068
## `prdl.my.descr.fctriPad 3+#1:biddable` -0.230
## `prdl.my.descr.fctriPadAir#0:biddable` -2.140
## `prdl.my.descr.fctriPadAir#1:biddable` 0.609
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -2.195
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.649
## `prdl.my.descr.fctriPadmini#0:biddable` 0.738
## `prdl.my.descr.fctriPadmini#1:biddable` 1.027
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.002
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.430
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.432
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 1.219
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.093
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.366
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.482
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -0.500
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.449
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.717
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.171
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.656
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.053
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -1.305
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -1.053
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -0.710
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -1.253
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.522
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -0.101
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -1.667
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` -0.235
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.166
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.354
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -0.163
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.406
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.491
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.042
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -0.323
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -0.585
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -1.113
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -0.414
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` -0.110
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -0.788
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.515
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -0.780
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 1.306
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -0.346
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` -0.285
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -1.256
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -0.552
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -0.591
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -0.200
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -0.542
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -1.080
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -0.308
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -2.162
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -0.587
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.075
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -0.850
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` -0.817
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` -0.864
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -0.880
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -0.249
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.009
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -0.255
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.354
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.771
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -3.017
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -1.151
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` -0.568
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -0.935
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -1.057
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.074
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.084
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.443
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -0.650
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -0.266
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -0.443
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -0.468
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 2.295
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -2.282
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -0.262
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` -0.513
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.666
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -0.287
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -0.482
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -1.314
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -1.140
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -1.577
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -0.909
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -1.463
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -1.437
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.616
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -1.766
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -1.386
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.343
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -0.567
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -1.184
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` -0.459
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` -0.022
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -1.225
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.458
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.085
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` -0.391
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` -0.191
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -1.010
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -0.529
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -0.713
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -0.843
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -0.530
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` -0.412
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -0.524
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` -0.073
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -1.164
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.098
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.153
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` -0.372
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` -0.237
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -0.995
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -0.673
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -0.533
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.371
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -0.893
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.568
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -0.781
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -1.733
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -0.213
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -0.440
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` -0.495
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` -0.297
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -0.988
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` -0.094
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -0.691
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -0.303
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -0.576
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -1.061
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` -0.070
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` -0.232
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -0.672
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` -0.212
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.227
## `prdl.my.descr.fctriPad 1#0:idseq.my` -1.226
## `prdl.my.descr.fctriPad 1#1:idseq.my` -0.767
## `prdl.my.descr.fctriPad 2#0:idseq.my` -1.510
## `prdl.my.descr.fctriPad 2#1:idseq.my` -0.569
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -1.521
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -1.820
## `prdl.my.descr.fctriPadAir#0:idseq.my` -1.605
## `prdl.my.descr.fctriPadAir#1:idseq.my` -2.977
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -2.788
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.320
## `prdl.my.descr.fctriPadmini#0:idseq.my` -1.323
## `prdl.my.descr.fctriPadmini#1:idseq.my` -1.195
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.356
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.332
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.756
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.416
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -0.469
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 1.360
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.583
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.195
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -0.230
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.315
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.579
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.384
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.444
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.352
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -0.375
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -0.864
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -0.831
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.686
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.355
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -1.255
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.621
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.041
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.719
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.063
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.251
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 1.328
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -0.170
## Pr(>|t|)
## (Intercept) 0.74769
## `prdl.my.descr.fctrUnknown#1` 0.48195
## `prdl.my.descr.fctriPad 1#0` 0.71715
## `prdl.my.descr.fctriPad 1#1` 0.34528
## `prdl.my.descr.fctriPad 2#0` 0.82649
## `prdl.my.descr.fctriPad 2#1` 0.78333
## `prdl.my.descr.fctriPad 3+#0` 0.52223
## `prdl.my.descr.fctriPad 3+#1` 0.70076
## `prdl.my.descr.fctriPadAir#0` 0.19474
## `prdl.my.descr.fctriPadAir#1` 0.34959
## `prdl.my.descr.fctriPadmini 2+#0` 0.18830
## `prdl.my.descr.fctriPadmini 2+#1` 0.55474
## `prdl.my.descr.fctriPadmini#0` 0.49465
## `prdl.my.descr.fctriPadmini#1` 0.71613
## D.ratio.nstopwrds.nwrds 0.42291
## .rnorm 0.25493
## D.npnct14.log 0.49242
## D.terms.n.stem.stop.Ratio 0.74687
## D.ndgts.log 0.19292
## D.npnct05.log 0.81630
## D.npnct15.log 0.13818
## D.npnct12.log 0.96396
## D.npnct06.log 0.37288
## D.npnct03.log 0.44853
## D.npnct11.log 0.18362
## D.npnct13.log 0.56566
## D.nwrds.log 0.31170
## D.terms.n.post.stop.log 0.74686
## D.nwrds.unq.log 0.74673
## D.terms.n.post.stem.log NA
## D.nuppr.log 0.69531
## D.TfIdf.sum.post.stem 0.52776
## D.sum.TfIdf NA
## D.npnct24.log NA
## D.TfIdf.sum.post.stop 0.55361
## D.ratio.sum.TfIdf.nwrds 0.96943
## D.nchrs.log 0.89295
## D.TfIdf.sum.stem.stop.Ratio 0.63348
## D.npnct16.log 0.97722
## D.npnct01.log 0.87002
## D.nstopwrds.log 0.99009
## D.npnct08.log 0.12939
## D.terms.n.post.stop 0.76822
## D.terms.n.post.stem 0.76169
## biddable 1.42e-05
## `condition.fctrFor parts or not working` 0.10398
## `condition.fctrManufacturer refurbished` 0.27132
## condition.fctrNew 0.19872
## `condition.fctrNew other (see details)` 0.41963
## `condition.fctrSeller refurbished` 0.63401
## color.fctrGold 0.38983
## `color.fctrSpace Gray` 0.13072
## color.fctrUnknown 0.75280
## color.fctrWhite 0.09738
## storage.fctr16 0.72138
## storage.fctr32 0.69704
## storage.fctr64 0.58655
## storage.fctrUnknown 0.73090
## idseq.my 0.16527
## cellular.fctr1 0.62890
## cellular.fctrUnknown 0.28602
## carrier.fctrNone NA
## carrier.fctrOther 0.63487
## carrier.fctrSprint 0.04820
## `carrier.fctrT-Mobile` 0.68636
## carrier.fctrUnknown 0.52739
## carrier.fctrVerizon 0.78345
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 0.66754
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.71390
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 0.47983
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.84919
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 0.65191
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 0.22027
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` NA
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.19330
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.46005
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.62511
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.55588
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 0.58205
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 0.73831
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.12498
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.09825
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.15326
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 0.89444
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.18733
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.35086
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.47823
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 0.44842
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.33842
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 0.48376
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.36975
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 0.22988
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` NA
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.67793
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 0.83057
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.49518
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.75056
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.41186
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 0.26074
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` NA
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` NA
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 0.06597
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 0.11196
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 0.14842
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 0.12935
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 0.07743
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` NA
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 0.07623
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.82005
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.98029
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.67052
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.67542
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.78845
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` NA
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 0.07357
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 0.77117
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.97489
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.54829
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.78019
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 0.92699
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` NA
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` NA
## `prdl.my.descr.fctrUnknown#1:biddable` 0.78904
## `prdl.my.descr.fctriPad 1#0:biddable` 0.05334
## `prdl.my.descr.fctriPad 1#1:biddable` 0.23782
## `prdl.my.descr.fctriPad 2#0:biddable` 0.56334
## `prdl.my.descr.fctriPad 2#1:biddable` 0.69219
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.94610
## `prdl.my.descr.fctriPad 3+#1:biddable` 0.81829
## `prdl.my.descr.fctriPadAir#0:biddable` 0.03279
## `prdl.my.descr.fctriPadAir#1:biddable` 0.54272
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 0.02854
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.51638
## `prdl.my.descr.fctriPadmini#0:biddable` 0.46052
## `prdl.my.descr.fctriPadmini#1:biddable` 0.30501
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.99864
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.66758
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.66579
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 0.22333
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.92616
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.71442
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.63027
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 0.61704
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.65368
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.47348
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.86405
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.51190
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.95765
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 0.19253
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 0.29257
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 0.47823
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 0.21085
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 0.12851
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 0.91947
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 0.09617
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.81449
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.86844
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.72365
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 0.87079
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.68483
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.62340
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.96630
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 0.74679
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 0.55892
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 0.26619
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 0.67916
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.91238
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 0.43114
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.60663
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 0.43543
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.19216
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 0.72912
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.77602
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` NA
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 0.20954
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 0.58128
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 0.55492
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 0.84170
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 0.58825
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 0.28058
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 0.75824
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 0.03101
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` NA
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 0.55724
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 0.28293
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` NA
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 0.39585
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.41444
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.38798
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 0.37919
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` NA
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` NA
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 0.80383
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.99293
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 0.79861
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.72363
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` NA
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.44093
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 0.00267
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 0.25040
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.57016
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 0.35002
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 0.29105
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 0.28316
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.93345
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.65761
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 0.51569
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 0.79072
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 0.65780
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 0.64001
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 0.02211
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 0.02288
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 0.79329
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.60781
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.50543
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 0.77393
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 0.63034
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 0.18929
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 0.25489
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 0.11531
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 0.36354
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 0.14409
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 0.15133
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.53837
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 0.07801
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 0.16635
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 0.17966
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 0.57099
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 0.23685
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.64640
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.98259
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 0.22119
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.64719
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.93207
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.69615
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.84844
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 0.31276
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 0.59690
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 0.47587
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 0.39947
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 0.59611
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.68038
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 0.60061
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.94150
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 0.24490
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.92228
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.87875
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.70977
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.81247
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 0.32013
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 0.50148
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 0.59422
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.71096
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 0.37227
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.57041
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 0.43523
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 0.08372
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 0.83130
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 0.66045
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.62094
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.76643
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 0.32350
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 0.92514
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 0.48958
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 0.76208
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 0.56513
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 0.28909
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 0.94421
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.81670
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 0.50200
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.83182
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` NA
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` NA
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.22049
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.22087
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.44319
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.13154
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.56962
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.12874
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.06928
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.10896
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.00303
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.00549
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.74920
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.18622
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.23276
## `cellular.fctr1:carrier.fctrNone` NA
## `cellular.fctrUnknown:carrier.fctrNone` NA
## `cellular.fctr1:carrier.fctrOther` NA
## `cellular.fctrUnknown:carrier.fctrOther` NA
## `cellular.fctr1:carrier.fctrSprint` NA
## `cellular.fctrUnknown:carrier.fctrSprint` NA
## `cellular.fctr1:carrier.fctrT-Mobile` NA
## `cellular.fctrUnknown:carrier.fctrT-Mobile` NA
## `cellular.fctr1:carrier.fctrUnknown` NA
## `cellular.fctrUnknown:carrier.fctrUnknown` NA
## `cellular.fctr1:carrier.fctrVerizon` NA
## `cellular.fctrUnknown:carrier.fctrVerizon` NA
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 0.03085
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 0.72172
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.73964
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 0.44973
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.15741
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.63918
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 0.17442
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 0.56025
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.84515
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.81824
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 0.18898
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.56256
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.70086
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 0.14936
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.72530
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.70783
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 0.38802
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 0.40624
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.09240
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.72260
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 0.20987
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.53482
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.96718
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.47233
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.95008
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.80166
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 0.18464
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.86519
##
## (Intercept)
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0`
## `prdl.my.descr.fctriPad 1#1`
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0`
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0`
## `prdl.my.descr.fctriPadAir#1`
## `prdl.my.descr.fctriPadmini 2+#0`
## `prdl.my.descr.fctriPadmini 2+#1`
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## D.ratio.nstopwrds.nwrds
## .rnorm
## D.npnct14.log
## D.terms.n.stem.stop.Ratio
## D.ndgts.log
## D.npnct05.log
## D.npnct15.log
## D.npnct12.log
## D.npnct06.log
## D.npnct03.log
## D.npnct11.log
## D.npnct13.log
## D.nwrds.log
## D.terms.n.post.stop.log
## D.nwrds.unq.log
## D.terms.n.post.stem.log
## D.nuppr.log
## D.TfIdf.sum.post.stem
## D.sum.TfIdf
## D.npnct24.log
## D.TfIdf.sum.post.stop
## D.ratio.sum.TfIdf.nwrds
## D.nchrs.log
## D.TfIdf.sum.stem.stop.Ratio
## D.npnct16.log
## D.npnct01.log
## D.nstopwrds.log
## D.npnct08.log
## D.terms.n.post.stop
## D.terms.n.post.stem
## biddable ***
## `condition.fctrFor parts or not working`
## `condition.fctrManufacturer refurbished`
## condition.fctrNew
## `condition.fctrNew other (see details)`
## `condition.fctrSeller refurbished`
## color.fctrGold
## `color.fctrSpace Gray`
## color.fctrUnknown
## color.fctrWhite .
## storage.fctr16
## storage.fctr32
## storage.fctr64
## storage.fctrUnknown
## idseq.my
## cellular.fctr1
## cellular.fctrUnknown
## carrier.fctrNone
## carrier.fctrOther
## carrier.fctrSprint *
## `carrier.fctrT-Mobile`
## carrier.fctrUnknown
## carrier.fctrVerizon
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log`
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` .
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log`
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` .
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` .
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` .
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` .
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem`
## `prdl.my.descr.fctrUnknown#1:biddable`
## `prdl.my.descr.fctriPad 1#0:biddable` .
## `prdl.my.descr.fctriPad 1#1:biddable`
## `prdl.my.descr.fctriPad 2#0:biddable`
## `prdl.my.descr.fctriPad 2#1:biddable`
## `prdl.my.descr.fctriPad 3+#0:biddable`
## `prdl.my.descr.fctriPad 3+#1:biddable`
## `prdl.my.descr.fctriPadAir#0:biddable` *
## `prdl.my.descr.fctriPadAir#1:biddable`
## `prdl.my.descr.fctriPadmini 2+#0:biddable` *
## `prdl.my.descr.fctriPadmini 2+#1:biddable`
## `prdl.my.descr.fctriPadmini#0:biddable`
## `prdl.my.descr.fctriPadmini#1:biddable`
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` .
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` *
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctrUnknown#1:color.fctrGold`
## `prdl.my.descr.fctriPad 1#0:color.fctrGold`
## `prdl.my.descr.fctriPad 1#1:color.fctrGold`
## `prdl.my.descr.fctriPad 2#0:color.fctrGold`
## `prdl.my.descr.fctriPad 2#1:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold`
## `prdl.my.descr.fctriPadAir#0:color.fctrGold`
## `prdl.my.descr.fctriPadAir#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini#1:color.fctrGold`
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` **
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray`
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` *
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` *
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` .
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite`
## `prdl.my.descr.fctrUnknown#1:storage.fctr16`
## `prdl.my.descr.fctriPad 1#0:storage.fctr16`
## `prdl.my.descr.fctriPad 1#1:storage.fctr16`
## `prdl.my.descr.fctriPad 2#0:storage.fctr16`
## `prdl.my.descr.fctriPad 2#1:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16`
## `prdl.my.descr.fctriPadAir#0:storage.fctr16`
## `prdl.my.descr.fctriPadAir#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini#1:storage.fctr16`
## `prdl.my.descr.fctrUnknown#1:storage.fctr32`
## `prdl.my.descr.fctriPad 1#0:storage.fctr32`
## `prdl.my.descr.fctriPad 1#1:storage.fctr32`
## `prdl.my.descr.fctriPad 2#0:storage.fctr32`
## `prdl.my.descr.fctriPad 2#1:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32`
## `prdl.my.descr.fctriPadAir#0:storage.fctr32`
## `prdl.my.descr.fctriPadAir#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini#1:storage.fctr32`
## `prdl.my.descr.fctrUnknown#1:storage.fctr64`
## `prdl.my.descr.fctriPad 1#0:storage.fctr64`
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` .
## `prdl.my.descr.fctriPad 2#0:storage.fctr64`
## `prdl.my.descr.fctriPad 2#1:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64`
## `prdl.my.descr.fctriPadAir#0:storage.fctr64`
## `prdl.my.descr.fctriPadAir#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini#1:storage.fctr64`
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:idseq.my`
## `prdl.my.descr.fctriPad 1#0:idseq.my`
## `prdl.my.descr.fctriPad 1#1:idseq.my`
## `prdl.my.descr.fctriPad 2#0:idseq.my`
## `prdl.my.descr.fctriPad 2#1:idseq.my`
## `prdl.my.descr.fctriPad 3+#0:idseq.my`
## `prdl.my.descr.fctriPad 3+#1:idseq.my` .
## `prdl.my.descr.fctriPadAir#0:idseq.my`
## `prdl.my.descr.fctriPadAir#1:idseq.my` **
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` **
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my`
## `prdl.my.descr.fctriPadmini#0:idseq.my`
## `prdl.my.descr.fctriPadmini#1:idseq.my`
## `cellular.fctr1:carrier.fctrNone`
## `cellular.fctrUnknown:carrier.fctrNone`
## `cellular.fctr1:carrier.fctrOther`
## `cellular.fctrUnknown:carrier.fctrOther`
## `cellular.fctr1:carrier.fctrSprint`
## `cellular.fctrUnknown:carrier.fctrSprint`
## `cellular.fctr1:carrier.fctrT-Mobile`
## `cellular.fctrUnknown:carrier.fctrT-Mobile`
## `cellular.fctr1:carrier.fctrUnknown`
## `cellular.fctrUnknown:carrier.fctrUnknown`
## `cellular.fctr1:carrier.fctrVerizon`
## `cellular.fctrUnknown:carrier.fctrVerizon`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` *
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` .
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 6291.584)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 3561036 on 566 degrees of freedom
## AIC: 10193
##
## Number of Fisher Scoring iterations: 2
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## [1] " calling mypredict_mdl for OOB:"## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading
## model_id model_method
## 1 All.Interact.X.glm glm
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 3.19 0.592
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB min.aic.fit
## 1 0.7588767 140.3521 0.2722915 181.6504 10193.2
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.2997963 24.84236 0.1183708
## label step_major step_minor bgn end elapsed
## 9 fit.models_1_glm 9 0 196.307 202.326 6.019
## 10 fit.models_1_bayesglm 10 0 202.327 NA NA
## [1] "fitting model: All.Interact.X.bayesglm"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -258.00 -27.15 -0.19 26.19 365.75
##
## Coefficients:
## Estimate
## (Intercept) 207.42509
## `prdl.my.descr.fctrUnknown#1` 40.78753
## `prdl.my.descr.fctriPad 1#0` -29.25098
## `prdl.my.descr.fctriPad 1#1` -242.76726
## `prdl.my.descr.fctriPad 2#0` 8.86611
## `prdl.my.descr.fctriPad 2#1` 53.04364
## `prdl.my.descr.fctriPad 3+#0` 25.82733
## `prdl.my.descr.fctriPad 3+#1` -140.60549
## `prdl.my.descr.fctriPadAir#0` 153.08432
## `prdl.my.descr.fctriPadAir#1` 325.61784
## `prdl.my.descr.fctriPadmini 2+#0` 156.07160
## `prdl.my.descr.fctriPadmini 2+#1` -35.79425
## `prdl.my.descr.fctriPadmini#0` 15.97287
## `prdl.my.descr.fctriPadmini#1` -17.33263
## D.ratio.nstopwrds.nwrds -199.70753
## .rnorm 3.49200
## D.npnct14.log -33.91790
## D.terms.n.stem.stop.Ratio -2.09052
## D.ndgts.log -28.85345
## D.npnct05.log -45.18695
## D.npnct15.log -57.02986
## D.npnct12.log 6.32289
## D.npnct06.log -75.42388
## D.npnct03.log 45.35371
## D.npnct11.log -21.83968
## D.npnct13.log -11.89738
## D.nwrds.log 117.88501
## D.terms.n.post.stop.log 16.93973
## D.nwrds.unq.log 15.79610
## D.terms.n.post.stem.log 15.79610
## D.nuppr.log -26.34042
## D.TfIdf.sum.post.stem -3.58327
## D.sum.TfIdf -3.58327
## D.npnct24.log -28.04308
## D.TfIdf.sum.post.stop 3.08936
## D.ratio.sum.TfIdf.nwrds -5.13695
## D.nchrs.log -57.05948
## D.TfIdf.sum.stem.stop.Ratio 193.87527
## D.npnct16.log 74.97597
## D.npnct01.log 40.51765
## D.nstopwrds.log 27.39818
## D.npnct08.log 28.17063
## D.terms.n.post.stop 15.88327
## D.terms.n.post.stem -23.75559
## biddable -130.01290
## `condition.fctrFor parts or not working` -76.02205
## `condition.fctrManufacturer refurbished` 69.25126
## condition.fctrNew 48.43685
## `condition.fctrNew other (see details)` 22.25324
## `condition.fctrSeller refurbished` 20.14938
## color.fctrGold 22.78679
## `color.fctrSpace Gray` 67.35599
## color.fctrUnknown -19.36026
## color.fctrWhite 63.52023
## storage.fctr16 -57.49956
## storage.fctr32 -52.44583
## storage.fctr64 5.77554
## storage.fctrUnknown -62.99117
## idseq.my 0.05358
## cellular.fctr1 6.74464
## cellular.fctrUnknown -9.65324
## carrier.fctrNone 1.52836
## carrier.fctrOther 17.89624
## carrier.fctrSprint -29.70676
## `carrier.fctrT-Mobile` 4.24426
## carrier.fctrUnknown 2.17383
## carrier.fctrVerizon 1.90046
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -111.76793
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 47.68031
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -38.57145
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 42.43232
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -6.96663
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -19.27050
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 26.02700
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 361.53776
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` -29.25098
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 76.44500
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 8.86611
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 27.08057
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 25.82733
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 29.05629
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 153.08432
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -162.09097
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 156.07160
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -3.81868
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 15.97287
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` -132.19813
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 101.14894
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 45.76323
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 79.05047
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -91.25248
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 59.94502
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` -45.96347
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` -76.17082
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 15.96875
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -81.08022
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 38.89823
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -116.87469
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 28.57867
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 240.01402
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` -46.29303
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 24.34052
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -41.10954
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` -0.67669
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## `cellular.fctr1:carrier.fctrSprint` -29.70676
## `cellular.fctrUnknown:carrier.fctrSprint` 0.00000
## `cellular.fctr1:carrier.fctrT-Mobile` 4.24426
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 0.00000
## `cellular.fctr1:carrier.fctrUnknown` 10.44967
## `cellular.fctrUnknown:carrier.fctrUnknown` -9.65324
## `cellular.fctr1:carrier.fctrVerizon` 1.90046
## `cellular.fctrUnknown:carrier.fctrVerizon` 0.00000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -216.97708
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -12.13214
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -12.74995
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -30.97882
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -41.23161
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 5.05637
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 63.01358
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -73.11580
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 11.74493
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -10.07118
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -72.68572
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 21.95650
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 133.22425
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 17.98438
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -218.70464
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 14.09112
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -16.27548
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -73.91779
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -61.14587
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 82.72289
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 18.73894
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -59.11989
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 27.39501
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` -9.86429
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 42.37176
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -2.65702
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 22.24706
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 58.96197
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -11.83128
## Std. Error
## (Intercept) 1019.37755
## `prdl.my.descr.fctrUnknown#1` 590.26662
## `prdl.my.descr.fctriPad 1#0` 487.95477
## `prdl.my.descr.fctriPad 1#1` 463.76683
## `prdl.my.descr.fctriPad 2#0` 487.66934
## `prdl.my.descr.fctriPad 2#1` 420.20961
## `prdl.my.descr.fctriPad 3+#0` 466.43427
## `prdl.my.descr.fctriPad 3+#1` 400.24881
## `prdl.my.descr.fctriPadAir#0` 476.83093
## `prdl.my.descr.fctriPadAir#1` 440.94342
## `prdl.my.descr.fctriPadmini 2+#0` 477.75288
## `prdl.my.descr.fctriPadmini 2+#1` 636.04485
## `prdl.my.descr.fctriPadmini#0` 487.79765
## `prdl.my.descr.fctriPadmini#1` 458.50324
## D.ratio.nstopwrds.nwrds 329.10162
## .rnorm 3.82925
## D.npnct14.log 51.89168
## D.terms.n.stem.stop.Ratio 665.89207
## D.ndgts.log 30.91327
## D.npnct05.log 120.82868
## D.npnct15.log 51.98995
## D.npnct12.log 35.98248
## D.npnct06.log 122.76270
## D.npnct03.log 90.76392
## D.npnct11.log 21.09761
## D.npnct13.log 21.72873
## D.nwrds.log 133.03638
## D.terms.n.post.stop.log 537.84731
## D.nwrds.unq.log 554.89681
## D.terms.n.post.stem.log 554.89681
## D.nuppr.log 245.02175
## D.TfIdf.sum.post.stem 460.30659
## D.sum.TfIdf 460.30659
## D.npnct24.log 458.76312
## D.TfIdf.sum.post.stop 87.14685
## D.ratio.sum.TfIdf.nwrds 27.67089
## D.nchrs.log 326.45431
## D.TfIdf.sum.stem.stop.Ratio 562.04075
## D.npnct16.log 231.85267
## D.npnct01.log 216.64576
## D.nstopwrds.log 224.00371
## D.npnct08.log 234.07060
## D.terms.n.post.stop 220.93001
## D.terms.n.post.stem 221.14428
## biddable 33.70379
## `condition.fctrFor parts or not working` 53.79876
## `condition.fctrManufacturer refurbished` 93.26260
## condition.fctrNew 42.85888
## `condition.fctrNew other (see details)` 164.97820
## `condition.fctrSeller refurbished` 71.60204
## color.fctrGold 249.82166
## `color.fctrSpace Gray` 56.11496
## color.fctrUnknown 43.14663
## color.fctrWhite 48.86380
## storage.fctr16 118.53308
## storage.fctr32 131.97602
## storage.fctr64 124.23385
## storage.fctrUnknown 118.59256
## idseq.my 0.04821
## cellular.fctr1 411.51613
## cellular.fctrUnknown 549.70169
## carrier.fctrNone 411.51651
## carrier.fctrOther 461.08461
## carrier.fctrSprint 458.19475
## `carrier.fctrT-Mobile` 458.05763
## carrier.fctrUnknown 411.60764
## carrier.fctrVerizon 457.38030
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 281.80691
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 238.17994
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 229.64554
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 224.76254
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 224.20939
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 334.67638
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 235.65840
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 520.47181
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` 487.95477
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 366.96717
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 487.66934
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 360.76865
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 466.43427
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 340.61644
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 476.83093
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 412.33778
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 477.75288
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 646.64606
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 487.79765
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` 402.14319
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 236.26560
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 221.58851
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 239.80606
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 244.04248
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 236.96491
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 323.23506
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` 219.86277
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 315.21112
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 222.96383
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 235.37463
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 236.17365
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 226.87284
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 334.18739
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` 220.33127
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 228.35567
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 213.89213
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 212.12935
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 211.42460
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 211.73986
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 284.15487
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` 215.73683
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 292.27239
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 282.81625
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 237.67510
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 239.76987
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 245.77482
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` 369.50580
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 791.98164
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 234.94164
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 229.17708
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 212.55184
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 214.18899
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 215.12090
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 240.82103
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` 218.24308
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 228.52843
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 229.70503
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 212.48510
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 213.60052
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 215.31319
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 241.79982
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 218.22268
## `prdl.my.descr.fctrUnknown#1:biddable` 150.96577
## `prdl.my.descr.fctriPad 1#0:biddable` 47.57471
## `prdl.my.descr.fctriPad 1#1:biddable` 59.30784
## `prdl.my.descr.fctriPad 2#0:biddable` 46.64483
## `prdl.my.descr.fctriPad 2#1:biddable` 48.63237
## `prdl.my.descr.fctriPad 3+#0:biddable` 49.43760
## `prdl.my.descr.fctriPad 3+#1:biddable` 47.17740
## `prdl.my.descr.fctriPadAir#0:biddable` 41.86743
## `prdl.my.descr.fctriPadAir#1:biddable` 67.20991
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 48.02346
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 115.42152
## `prdl.my.descr.fctriPadmini#0:biddable` 45.60403
## `prdl.my.descr.fctriPadmini#1:biddable` 59.20839
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 151.94409
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 87.28052
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 89.56480
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 74.19457
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 85.61385
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 74.90982
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 83.95152
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 74.38982
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 88.13545
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 117.59286
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 238.92797
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 69.54833
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 77.63516
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 133.21657
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 115.52646
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 156.03243
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 115.89660
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 110.60671
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 152.13110
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 137.30143
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 136.66988
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 177.58270
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 109.44629
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 109.46717
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 48.61953
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 52.85987
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 55.58340
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 200.61023
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 791.98164
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 194.76301
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 188.17147
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 178.77213
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 175.48192
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 200.66956
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 168.87734
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 174.08435
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 189.57624
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 399.44605
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 178.14413
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 182.04845
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 148.94082
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 99.88501
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 109.86924
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 87.11296
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 95.17647
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 100.35497
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 97.18129
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 101.83531
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 99.29481
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 156.42311
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 286.15473
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 255.40080
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 257.93771
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 258.07656
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 345.68597
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 262.38578
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 88.68499
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 237.27658
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 85.92218
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 81.08040
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 97.24951
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 81.26013
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 347.33188
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 69.05034
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 91.10844
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 135.97510
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 52.48742
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 60.22577
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 51.46937
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 58.07960
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 52.37083
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 59.81007
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 72.25401
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 88.05001
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 74.51913
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 139.49783
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 52.68594
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 67.63083
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 187.41301
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 71.25400
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 78.42783
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 55.72367
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 67.45178
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 55.46625
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 67.14516
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 77.43545
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 89.73429
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 76.08586
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 106.89530
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 65.44808
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 79.26007
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 309.10146
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 287.63565
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 288.09434
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 288.00790
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 282.80560
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 141.73045
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 148.81412
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 122.79777
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 126.51163
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 126.54687
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 154.45787
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 287.51433
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 286.46926
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 344.82257
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 294.01844
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 294.38025
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 294.56526
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 289.89814
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 154.55457
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 162.14204
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 137.48958
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 147.03957
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 143.24981
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` 357.66269
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 295.46549
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 292.83238
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 313.69307
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 290.23010
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 290.63130
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 292.04135
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 287.43935
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 148.64938
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 151.59481
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 128.68257
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 141.06369
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 133.78870
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 209.63810
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 291.22538
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 290.03594
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 302.60133
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 291.26617
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 293.52167
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` 295.83402
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 297.08659
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 152.04205
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 165.18867
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 791.98164
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 219.89342
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 157.68854
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 199.93623
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 288.99167
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 299.21208
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.12874
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.05776
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.06671
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.05916
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.06298
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.05766
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.06128
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.05398
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.06526
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.05777
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.11932
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.05627
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.06445
## `cellular.fctr1:carrier.fctrNone` 791.98164
## `cellular.fctrUnknown:carrier.fctrNone` 791.98164
## `cellular.fctr1:carrier.fctrOther` 461.08461
## `cellular.fctrUnknown:carrier.fctrOther` 791.98164
## `cellular.fctr1:carrier.fctrSprint` 458.19475
## `cellular.fctrUnknown:carrier.fctrSprint` 791.98164
## `cellular.fctr1:carrier.fctrT-Mobile` 458.05763
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 791.98164
## `cellular.fctr1:carrier.fctrUnknown` 411.65929
## `cellular.fctrUnknown:carrier.fctrUnknown` 549.70169
## `cellular.fctr1:carrier.fctrVerizon` 457.38030
## `cellular.fctrUnknown:carrier.fctrVerizon` 791.98164
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 122.20480
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 46.82459
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 43.55592
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 45.34036
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 34.18017
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 80.56393
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 57.14474
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 99.70739
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 58.22435
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 58.43364
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 59.44558
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 83.88864
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 219.81159
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 67.60263
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 132.31499
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 52.73336
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 43.34781
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 96.56182
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 83.44885
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 54.73362
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 81.04880
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 57.84439
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 53.80924
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 103.60366
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 62.84407
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 65.15363
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 79.40198
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 54.03783
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 88.03238
## t value
## (Intercept) 0.203
## `prdl.my.descr.fctrUnknown#1` 0.069
## `prdl.my.descr.fctriPad 1#0` -0.060
## `prdl.my.descr.fctriPad 1#1` -0.523
## `prdl.my.descr.fctriPad 2#0` 0.018
## `prdl.my.descr.fctriPad 2#1` 0.126
## `prdl.my.descr.fctriPad 3+#0` 0.055
## `prdl.my.descr.fctriPad 3+#1` -0.351
## `prdl.my.descr.fctriPadAir#0` 0.321
## `prdl.my.descr.fctriPadAir#1` 0.738
## `prdl.my.descr.fctriPadmini 2+#0` 0.327
## `prdl.my.descr.fctriPadmini 2+#1` -0.056
## `prdl.my.descr.fctriPadmini#0` 0.033
## `prdl.my.descr.fctriPadmini#1` -0.038
## D.ratio.nstopwrds.nwrds -0.607
## .rnorm 0.912
## D.npnct14.log -0.654
## D.terms.n.stem.stop.Ratio -0.003
## D.ndgts.log -0.933
## D.npnct05.log -0.374
## D.npnct15.log -1.097
## D.npnct12.log 0.176
## D.npnct06.log -0.614
## D.npnct03.log 0.500
## D.npnct11.log -1.035
## D.npnct13.log -0.548
## D.nwrds.log 0.886
## D.terms.n.post.stop.log 0.031
## D.nwrds.unq.log 0.028
## D.terms.n.post.stem.log 0.028
## D.nuppr.log -0.108
## D.TfIdf.sum.post.stem -0.008
## D.sum.TfIdf -0.008
## D.npnct24.log -0.061
## D.TfIdf.sum.post.stop 0.035
## D.ratio.sum.TfIdf.nwrds -0.186
## D.nchrs.log -0.175
## D.TfIdf.sum.stem.stop.Ratio 0.345
## D.npnct16.log 0.323
## D.npnct01.log 0.187
## D.nstopwrds.log 0.122
## D.npnct08.log 0.120
## D.terms.n.post.stop 0.072
## D.terms.n.post.stem -0.107
## biddable -3.858
## `condition.fctrFor parts or not working` -1.413
## `condition.fctrManufacturer refurbished` 0.743
## condition.fctrNew 1.130
## `condition.fctrNew other (see details)` 0.135
## `condition.fctrSeller refurbished` 0.281
## color.fctrGold 0.091
## `color.fctrSpace Gray` 1.200
## color.fctrUnknown -0.449
## color.fctrWhite 1.300
## storage.fctr16 -0.485
## storage.fctr32 -0.397
## storage.fctr64 0.046
## storage.fctrUnknown -0.531
## idseq.my 1.111
## cellular.fctr1 0.016
## cellular.fctrUnknown -0.018
## carrier.fctrNone 0.004
## carrier.fctrOther 0.039
## carrier.fctrSprint -0.065
## `carrier.fctrT-Mobile` 0.009
## carrier.fctrUnknown 0.005
## carrier.fctrVerizon 0.004
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -0.397
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.200
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -0.168
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.189
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -0.031
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -0.058
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 0.110
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.695
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` -0.060
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.208
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 0.018
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.075
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 0.055
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.085
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 0.321
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -0.393
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 0.327
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -0.006
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 0.033
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` -0.329
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.428
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.207
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.330
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -0.374
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.253
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` -0.142
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` -0.346
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.051
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -0.364
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.165
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -0.495
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.126
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 0.718
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` -0.210
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.107
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -0.192
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` -0.003
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` -0.065
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.041
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 0.327
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` -0.173
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 0.449
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 0.157
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` -0.225
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` -0.086
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 0.282
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` -0.413
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 0.000
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 0.613
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` -0.079
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` -0.228
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` -0.094
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` -0.012
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.049
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` -0.198
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -0.501
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 0.048
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.233
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.030
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.041
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -0.132
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 0.196
## `prdl.my.descr.fctrUnknown#1:biddable` -0.469
## `prdl.my.descr.fctriPad 1#0:biddable` 1.675
## `prdl.my.descr.fctriPad 1#1:biddable` 1.038
## `prdl.my.descr.fctriPad 2#0:biddable` 0.520
## `prdl.my.descr.fctriPad 2#1:biddable` 0.350
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.082
## `prdl.my.descr.fctriPad 3+#1:biddable` -0.140
## `prdl.my.descr.fctriPadAir#0:biddable` -1.803
## `prdl.my.descr.fctriPadAir#1:biddable` 0.424
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -1.877
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.531
## `prdl.my.descr.fctriPadmini#0:biddable` 0.663
## `prdl.my.descr.fctriPadmini#1:biddable` 0.878
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.115
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.335
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.304
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 1.014
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.084
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.268
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.409
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -0.492
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.380
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.550
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` -0.197
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.524
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.041
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -0.945
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -0.713
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -0.450
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -0.899
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.149
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -0.046
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -1.275
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.017
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.413
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.294
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -0.137
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.349
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.406
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.034
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -0.003
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 0.000
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -0.194
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -0.451
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -0.039
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.149
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -0.284
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.446
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -0.130
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.917
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -0.236
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.046
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 0.194
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -0.798
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -0.372
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -0.392
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -0.047
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -0.398
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -0.836
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -0.118
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -1.883
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -0.406
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.181
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -0.143
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.047
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.004
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -0.151
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 0.281
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 0.000
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -0.271
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.124
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -0.190
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.445
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.795
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -2.286
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -0.836
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.050
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -0.683
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -0.898
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.034
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.209
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.506
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -0.457
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -0.175
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -0.268
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -0.362
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 2.123
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -1.605
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -0.087
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.273
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.735
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -0.169
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -0.419
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -0.986
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -0.781
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -1.218
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -0.645
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -1.119
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -1.120
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.701
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -1.213
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -1.033
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.175
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -0.313
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -1.018
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.078
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.019
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -0.201
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.096
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.077
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.246
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.711
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -1.629
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -0.025
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -0.653
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -0.560
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -0.075
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.071
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -0.187
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.035
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -0.250
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.038
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.159
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.325
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.615
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -1.396
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -0.310
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -0.029
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` -0.070
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.189
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -0.163
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.074
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -0.167
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -0.382
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -0.075
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -0.104
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.025
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.519
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -1.418
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 1.148
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -0.487
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -0.114
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -0.096
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -0.155
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 0.148
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 0.029
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 0.180
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` -0.033
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 0.030
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 1.079
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.487
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 0.000
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -0.330
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.699
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 1.407
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 0.026
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 0.193
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.329
## `prdl.my.descr.fctriPad 1#0:idseq.my` -0.974
## `prdl.my.descr.fctriPad 1#1:idseq.my` -0.563
## `prdl.my.descr.fctriPad 2#0:idseq.my` -1.211
## `prdl.my.descr.fctriPad 2#1:idseq.my` -0.460
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -1.225
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -1.492
## `prdl.my.descr.fctriPadAir#0:idseq.my` -1.303
## `prdl.my.descr.fctriPadAir#1:idseq.my` -2.439
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -2.335
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` -0.177
## `prdl.my.descr.fctriPadmini#0:idseq.my` -1.051
## `prdl.my.descr.fctriPadmini#1:idseq.my` -0.924
## `cellular.fctr1:carrier.fctrNone` 0.000
## `cellular.fctrUnknown:carrier.fctrNone` 0.000
## `cellular.fctr1:carrier.fctrOther` 0.039
## `cellular.fctrUnknown:carrier.fctrOther` 0.000
## `cellular.fctr1:carrier.fctrSprint` -0.065
## `cellular.fctrUnknown:carrier.fctrSprint` 0.000
## `cellular.fctr1:carrier.fctrT-Mobile` 0.009
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 0.000
## `cellular.fctr1:carrier.fctrUnknown` 0.025
## `cellular.fctrUnknown:carrier.fctrUnknown` -0.018
## `cellular.fctr1:carrier.fctrVerizon` 0.004
## `cellular.fctrUnknown:carrier.fctrVerizon` 0.000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -1.776
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.259
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.293
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.683
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.206
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.063
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 1.103
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.733
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.202
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -0.172
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.223
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.262
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.606
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.266
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.653
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.267
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -0.375
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -0.765
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -0.733
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.511
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.231
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -1.022
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.509
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` -0.095
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.674
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.041
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.280
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 1.091
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -0.134
## Pr(>|t|)
## (Intercept) 0.838862
## `prdl.my.descr.fctrUnknown#1` 0.944945
## `prdl.my.descr.fctriPad 1#0` 0.952229
## `prdl.my.descr.fctriPad 1#1` 0.600940
## `prdl.my.descr.fctriPad 2#0` 0.985504
## `prdl.my.descr.fctriPad 2#1` 0.899613
## `prdl.my.descr.fctriPad 3+#0` 0.955870
## `prdl.my.descr.fctriPad 3+#1` 0.725553
## `prdl.my.descr.fctriPadAir#0` 0.748345
## `prdl.my.descr.fctriPadAir#1` 0.460672
## `prdl.my.descr.fctriPadmini 2+#0` 0.744083
## `prdl.my.descr.fctriPadmini 2+#1` 0.955150
## `prdl.my.descr.fctriPadmini#0` 0.973894
## `prdl.my.descr.fctriPadmini#1` 0.969864
## D.ratio.nstopwrds.nwrds 0.544312
## .rnorm 0.362358
## D.npnct14.log 0.513728
## D.terms.n.stem.stop.Ratio 0.997497
## D.ndgts.log 0.351196
## D.npnct05.log 0.708622
## D.npnct15.log 0.273331
## D.npnct12.log 0.860602
## D.npnct06.log 0.539310
## D.npnct03.log 0.617570
## D.npnct11.log 0.301216
## D.npnct13.log 0.584314
## D.nwrds.log 0.376093
## D.terms.n.post.stop.log 0.974890
## D.nwrds.unq.log 0.977304
## D.terms.n.post.stem.log 0.977304
## D.nuppr.log 0.914445
## D.TfIdf.sum.post.stem 0.993793
## D.sum.TfIdf 0.993793
## D.npnct24.log 0.951288
## D.TfIdf.sum.post.stop 0.971739
## D.ratio.sum.TfIdf.nwrds 0.852818
## D.nchrs.log 0.861337
## D.TfIdf.sum.stem.stop.Ratio 0.730315
## D.npnct16.log 0.746579
## D.npnct01.log 0.851738
## D.nstopwrds.log 0.902714
## D.npnct08.log 0.904266
## D.terms.n.post.stop 0.942723
## D.terms.n.post.stem 0.914509
## biddable 0.000134
## `condition.fctrFor parts or not working` 0.158413
## `condition.fctrManufacturer refurbished` 0.458198
## condition.fctrNew 0.259095
## `condition.fctrNew other (see details)` 0.892770
## `condition.fctrSeller refurbished` 0.778544
## color.fctrGold 0.927370
## `color.fctrSpace Gray` 0.230728
## color.fctrUnknown 0.653886
## color.fctrWhite 0.194372
## storage.fctr16 0.627877
## storage.fctr32 0.691294
## storage.fctr64 0.962944
## storage.fctrUnknown 0.595607
## idseq.my 0.267099
## cellular.fctr1 0.986932
## cellular.fctrUnknown 0.985998
## carrier.fctrNone 0.997039
## carrier.fctrOther 0.969059
## carrier.fctrSprint 0.948338
## `carrier.fctrT-Mobile` 0.992612
## carrier.fctrUnknown 0.995789
## carrier.fctrVerizon 0.996687
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 0.691866
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.841437
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 0.866699
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.850356
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 0.975228
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 0.954112
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 0.912113
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.487690
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` 0.952229
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.835089
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 0.985504
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.940202
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 0.955870
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.932062
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 0.748345
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 0.694454
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 0.744083
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 0.995291
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 0.973894
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` 0.742530
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.668799
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.836488
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.741843
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 0.708663
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.800422
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.886995
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` 0.729190
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.959621
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 0.716314
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.868823
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 0.620967
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.899821
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 0.473054
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` 0.833692
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.915168
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 0.847685
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.997456
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.948322
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.967232
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 0.743753
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` 0.863108
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 0.653566
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 0.875136
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 0.822171
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 0.931822
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 0.778167
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` 0.679648
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 1.000000
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 0.540084
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.936735
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.819826
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.925501
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.990466
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.960854
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` 0.842816
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 0.616773
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 0.961766
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.815577
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.976426
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.967095
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 0.895014
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 0.844864
## `prdl.my.descr.fctrUnknown#1:biddable` 0.639142
## `prdl.my.descr.fctriPad 1#0:biddable` 0.094727
## `prdl.my.descr.fctriPad 1#1:biddable` 0.299878
## `prdl.my.descr.fctriPad 2#0:biddable` 0.603493
## `prdl.my.descr.fctriPad 2#1:biddable` 0.726538
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.934352
## `prdl.my.descr.fctriPad 3+#1:biddable` 0.888413
## `prdl.my.descr.fctriPadAir#0:biddable` 0.072171
## `prdl.my.descr.fctriPadAir#1:biddable` 0.671680
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 0.061193
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.595480
## `prdl.my.descr.fctriPadmini#0:biddable` 0.507790
## `prdl.my.descr.fctriPadmini#1:biddable` 0.380707
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.908895
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.738005
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.761322
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 0.311212
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.933479
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.789221
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.682762
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 0.623159
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.704326
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.582363
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.843749
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.600321
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.967607
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 0.345104
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 0.476293
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 0.652597
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 0.369442
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 0.251447
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 0.963500
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 0.203024
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.986116
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.680134
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.768567
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 0.891151
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.727290
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.685044
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.972698
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 0.997723
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 1.000000
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 0.846581
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 0.652568
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 0.969018
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.881618
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 0.776594
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.655672
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 0.896764
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.359794
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 0.813933
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.963390
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 0.846572
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 0.425441
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 0.710042
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 0.695369
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 0.962592
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 0.691099
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 0.403877
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 0.906500
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 0.060362
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 0.685102
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 0.238185
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 0.886203
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.962254
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.997058
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 0.880311
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 0.779035
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 0.786271
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.901338
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 0.849714
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.656285
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.427062
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 0.022796
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 0.403893
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.959991
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 0.494744
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 0.369888
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 0.301603
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.834602
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.613264
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 0.648165
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 0.861179
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 0.788607
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 0.717721
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 0.034361
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 0.109352
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 0.930891
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.785084
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.462789
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 0.865855
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 0.675593
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 0.324518
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 0.435487
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 0.224059
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 0.519091
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 0.263641
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 0.263197
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.483987
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 0.225898
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 0.302347
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 0.240562
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 0.754806
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 0.309241
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.938026
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.984605
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 0.840450
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.923655
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.938517
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.805506
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.477408
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 0.104031
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 0.980418
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 0.514281
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 0.575505
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 0.940205
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.943449
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 0.852001
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.972393
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 0.802861
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.969670
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.873953
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.745038
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.538781
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 0.163401
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 0.756633
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 0.976618
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` 0.943942
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.850296
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 0.870766
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.941304
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 0.867537
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 0.702603
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 0.940455
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 0.917241
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.979678
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.603890
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 0.157049
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 0.251736
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 0.626690
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 0.909201
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 0.923326
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 0.877074
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 0.882072
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 0.976770
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 0.857114
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` 0.973672
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 0.976135
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 0.281289
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.626647
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 1.000000
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 0.741412
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.485162
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 0.160146
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 0.979316
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 0.846973
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.184627
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.330523
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.573435
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.226720
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.645619
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.221394
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.136430
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.193380
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.015170
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.020049
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.859403
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.293906
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.356056
## `cellular.fctr1:carrier.fctrNone` 1.000000
## `cellular.fctrUnknown:carrier.fctrNone` 1.000000
## `cellular.fctr1:carrier.fctrOther` 0.969059
## `cellular.fctrUnknown:carrier.fctrOther` 1.000000
## `cellular.fctr1:carrier.fctrSprint` 0.948338
## `cellular.fctrUnknown:carrier.fctrSprint` 1.000000
## `cellular.fctr1:carrier.fctrT-Mobile` 0.992612
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 1.000000
## `cellular.fctr1:carrier.fctrUnknown` 0.979761
## `cellular.fctrUnknown:carrier.fctrUnknown` 0.985998
## `cellular.fctr1:carrier.fctrVerizon` 0.996687
## `cellular.fctrUnknown:carrier.fctrVerizon` 1.000000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 0.076576
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 0.795694
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.769884
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 0.494846
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.228418
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.949987
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 0.270823
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 0.463805
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.840240
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.863248
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 0.222156
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.793662
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.544805
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.790353
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 0.099138
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.789442
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.707516
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 0.444429
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 0.464152
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.131487
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.817274
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 0.307378
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.610955
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.924194
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.500552
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.967491
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.779483
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 0.275878
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.893157
##
## (Intercept)
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0`
## `prdl.my.descr.fctriPad 1#1`
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0`
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0`
## `prdl.my.descr.fctriPadAir#1`
## `prdl.my.descr.fctriPadmini 2+#0`
## `prdl.my.descr.fctriPadmini 2+#1`
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## D.ratio.nstopwrds.nwrds
## .rnorm
## D.npnct14.log
## D.terms.n.stem.stop.Ratio
## D.ndgts.log
## D.npnct05.log
## D.npnct15.log
## D.npnct12.log
## D.npnct06.log
## D.npnct03.log
## D.npnct11.log
## D.npnct13.log
## D.nwrds.log
## D.terms.n.post.stop.log
## D.nwrds.unq.log
## D.terms.n.post.stem.log
## D.nuppr.log
## D.TfIdf.sum.post.stem
## D.sum.TfIdf
## D.npnct24.log
## D.TfIdf.sum.post.stop
## D.ratio.sum.TfIdf.nwrds
## D.nchrs.log
## D.TfIdf.sum.stem.stop.Ratio
## D.npnct16.log
## D.npnct01.log
## D.nstopwrds.log
## D.npnct08.log
## D.terms.n.post.stop
## D.terms.n.post.stem
## biddable ***
## `condition.fctrFor parts or not working`
## `condition.fctrManufacturer refurbished`
## condition.fctrNew
## `condition.fctrNew other (see details)`
## `condition.fctrSeller refurbished`
## color.fctrGold
## `color.fctrSpace Gray`
## color.fctrUnknown
## color.fctrWhite
## storage.fctr16
## storage.fctr32
## storage.fctr64
## storage.fctrUnknown
## idseq.my
## cellular.fctr1
## cellular.fctrUnknown
## carrier.fctrNone
## carrier.fctrOther
## carrier.fctrSprint
## `carrier.fctrT-Mobile`
## carrier.fctrUnknown
## carrier.fctrVerizon
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log`
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log`
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem`
## `prdl.my.descr.fctrUnknown#1:biddable`
## `prdl.my.descr.fctriPad 1#0:biddable` .
## `prdl.my.descr.fctriPad 1#1:biddable`
## `prdl.my.descr.fctriPad 2#0:biddable`
## `prdl.my.descr.fctriPad 2#1:biddable`
## `prdl.my.descr.fctriPad 3+#0:biddable`
## `prdl.my.descr.fctriPad 3+#1:biddable`
## `prdl.my.descr.fctriPadAir#0:biddable` .
## `prdl.my.descr.fctriPadAir#1:biddable`
## `prdl.my.descr.fctriPadmini 2+#0:biddable` .
## `prdl.my.descr.fctriPadmini 2+#1:biddable`
## `prdl.my.descr.fctriPadmini#0:biddable`
## `prdl.my.descr.fctriPadmini#1:biddable`
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` .
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctrUnknown#1:color.fctrGold`
## `prdl.my.descr.fctriPad 1#0:color.fctrGold`
## `prdl.my.descr.fctriPad 1#1:color.fctrGold`
## `prdl.my.descr.fctriPad 2#0:color.fctrGold`
## `prdl.my.descr.fctriPad 2#1:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold`
## `prdl.my.descr.fctriPadAir#0:color.fctrGold`
## `prdl.my.descr.fctriPadAir#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini#1:color.fctrGold`
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` *
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray`
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` *
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite`
## `prdl.my.descr.fctrUnknown#1:storage.fctr16`
## `prdl.my.descr.fctriPad 1#0:storage.fctr16`
## `prdl.my.descr.fctriPad 1#1:storage.fctr16`
## `prdl.my.descr.fctriPad 2#0:storage.fctr16`
## `prdl.my.descr.fctriPad 2#1:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16`
## `prdl.my.descr.fctriPadAir#0:storage.fctr16`
## `prdl.my.descr.fctriPadAir#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini#1:storage.fctr16`
## `prdl.my.descr.fctrUnknown#1:storage.fctr32`
## `prdl.my.descr.fctriPad 1#0:storage.fctr32`
## `prdl.my.descr.fctriPad 1#1:storage.fctr32`
## `prdl.my.descr.fctriPad 2#0:storage.fctr32`
## `prdl.my.descr.fctriPad 2#1:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32`
## `prdl.my.descr.fctriPadAir#0:storage.fctr32`
## `prdl.my.descr.fctriPadAir#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini#1:storage.fctr32`
## `prdl.my.descr.fctrUnknown#1:storage.fctr64`
## `prdl.my.descr.fctriPad 1#0:storage.fctr64`
## `prdl.my.descr.fctriPad 1#1:storage.fctr64`
## `prdl.my.descr.fctriPad 2#0:storage.fctr64`
## `prdl.my.descr.fctriPad 2#1:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64`
## `prdl.my.descr.fctriPadAir#0:storage.fctr64`
## `prdl.my.descr.fctriPadAir#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini#1:storage.fctr64`
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:idseq.my`
## `prdl.my.descr.fctriPad 1#0:idseq.my`
## `prdl.my.descr.fctriPad 1#1:idseq.my`
## `prdl.my.descr.fctriPad 2#0:idseq.my`
## `prdl.my.descr.fctriPad 2#1:idseq.my`
## `prdl.my.descr.fctriPad 3+#0:idseq.my`
## `prdl.my.descr.fctriPad 3+#1:idseq.my`
## `prdl.my.descr.fctriPadAir#0:idseq.my`
## `prdl.my.descr.fctriPadAir#1:idseq.my` *
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` *
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my`
## `prdl.my.descr.fctriPadmini#0:idseq.my`
## `prdl.my.descr.fctriPadmini#1:idseq.my`
## `cellular.fctr1:carrier.fctrNone`
## `cellular.fctrUnknown:carrier.fctrNone`
## `cellular.fctr1:carrier.fctrOther`
## `cellular.fctrUnknown:carrier.fctrOther`
## `cellular.fctr1:carrier.fctrSprint`
## `cellular.fctrUnknown:carrier.fctrSprint`
## `cellular.fctr1:carrier.fctrT-Mobile`
## `cellular.fctrUnknown:carrier.fctrT-Mobile`
## `cellular.fctr1:carrier.fctrUnknown`
## `cellular.fctrUnknown:carrier.fctrUnknown`
## `cellular.fctr1:carrier.fctrVerizon`
## `cellular.fctrUnknown:carrier.fctrVerizon`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` .
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` .
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 8997.113)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 3580851 on 398 degrees of freedom
## AIC: 10534
##
## Number of Fisher Scoring iterations: 17
##
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.Interact.X.bayesglm bayesglm
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 37.98 10.588
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB min.aic.fit
## 1 0.757535 99.70935 0.4252477 161.4353 10533.97
## max.Rsquared.fit min.RMSESD.fit max.RsquaredSD.fit
## 1 0.4786078 6.451989 0.1011217
## label step_major step_minor bgn end elapsed
## 10 fit.models_1_bayesglm 10 0 202.327 244.43 42.103
## 11 fit.models_1_glmnet 11 0 244.430 NA NA
## [1] "fitting model: All.Interact.X.glmnet"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 1.26 on full training set
## Length Class Mode
## a0 100 -none- numeric
## beta 46100 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 461 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## 1.295183e+02
## prdl.my.descr.fctriPad 1#0
## -4.517697e+01
## prdl.my.descr.fctriPad 1#1
## -4.734907e+01
## prdl.my.descr.fctriPad 2#0
## -7.879976e+00
## prdl.my.descr.fctriPad 3+#0
## 2.035564e+00
## prdl.my.descr.fctriPadAir#0
## 1.209263e+02
## prdl.my.descr.fctriPadAir#1
## 6.917911e+00
## prdl.my.descr.fctriPadmini 2+#0
## 8.255199e+01
## .rnorm
## 2.307829e+00
## D.npnct14.log
## -6.729724e+00
## D.ndgts.log
## -3.419795e+00
## D.npnct05.log
## -7.103422e+01
## D.npnct15.log
## -1.635166e+01
## D.npnct11.log
## -9.462001e+00
## D.npnct13.log
## -3.493149e+00
## D.ratio.sum.TfIdf.nwrds
## -1.671177e+01
## D.TfIdf.sum.stem.stop.Ratio
## 1.038276e+02
## biddable
## -1.166699e+02
## condition.fctrFor parts or not working
## -3.715798e+01
## condition.fctrNew
## 6.366320e+01
## condition.fctrNew other (see details)
## 2.465697e+01
## condition.fctrSeller refurbished
## -1.774520e+01
## color.fctrGold
## 5.772976e+00
## color.fctrSpace Gray
## 2.283839e+01
## color.fctrUnknown
## -1.396545e+01
## color.fctrWhite
## 9.860912e+00
## storage.fctr16
## -2.872790e+01
## storage.fctr32
## -1.395339e+01
## storage.fctrUnknown
## -2.302288e+01
## idseq.my
## -8.886761e-03
## cellular.fctr1
## 3.181267e+00
## cellular.fctrUnknown
## -9.213876e+00
## carrier.fctrOther
## 3.608943e+00
## carrier.fctrSprint
## -2.606053e+01
## carrier.fctrT-Mobile
## 7.259600e+00
## carrier.fctrVerizon
## 1.956275e+00
## prdl.my.descr.fctriPadAir#1:D.nchrs.log
## 1.430996e+00
## prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio
## -3.478542e+01
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## -7.357623e+00
## prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio
## -6.777464e+00
## prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio
## 3.081270e+00
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 1.041343e+02
## prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio
## 3.747827e+01
## prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio
## 6.372012e+01
## prdl.my.descr.fctrUnknown#1:D.npnct16.log
## 2.331747e+01
## prdl.my.descr.fctriPad 1#1:D.npnct16.log
## 5.471457e+01
## prdl.my.descr.fctriPad 2#1:D.npnct16.log
## 5.428857e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct16.log
## -1.691042e+01
## prdl.my.descr.fctriPadAir#1:D.npnct16.log
## 5.705816e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log
## -9.829924e+01
## prdl.my.descr.fctriPadmini#1:D.npnct16.log
## -6.416854e+00
## prdl.my.descr.fctrUnknown#1:D.npnct01.log
## 1.302426e+01
## prdl.my.descr.fctriPad 2#1:D.npnct01.log
## 5.127178e+01
## prdl.my.descr.fctriPadAir#1:D.npnct01.log
## 7.725400e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log
## 1.946234e+02
## prdl.my.descr.fctriPadmini#1:D.npnct01.log
## -5.860227e+00
## prdl.my.descr.fctrUnknown#1:D.nstopwrds.log
## 1.562981e+01
## prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log
## 4.284086e+00
## prdl.my.descr.fctriPadAir#1:D.nstopwrds.log
## 8.957784e+00
## prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log
## 2.068208e+01
## prdl.my.descr.fctriPad 2#1:D.npnct08.log
## -1.087708e+01
## prdl.my.descr.fctriPadAir#1:D.npnct08.log
## 7.662983e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log
## -8.620326e+01
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop
## 2.029983e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop
## -3.231783e-01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop
## 4.557791e+00
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem
## 1.672705e+00
## prdl.my.descr.fctriPad 1#0:biddable
## 3.123028e+01
## prdl.my.descr.fctriPad 1#1:biddable
## 1.400809e+01
## prdl.my.descr.fctriPadAir#0:biddable
## -6.610986e+01
## prdl.my.descr.fctriPadmini 2+#0:biddable
## -7.113944e+01
## prdl.my.descr.fctriPadmini 2+#1:biddable
## 4.591002e-01
## prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working
## -1.041265e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working
## 1.445897e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working
## 1.129783e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working
## -1.772379e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working
## -1.924708e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working
## -7.137717e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working
## -1.437888e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working
## -4.620547e+00
## prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working
## -9.217857e+00
## prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished
## -2.951780e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished
## -2.626150e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished
## -1.976193e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished
## -2.894233e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished
## 2.419474e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished
## -1.251986e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished
## 3.940159e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished
## 7.947343e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew
## 5.146906e+00
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew
## 7.687317e+00
## prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)
## 3.093558e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)
## -4.504981e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)
## -7.193726e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)
## 3.938296e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)
## 6.731798e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)
## 1.196309e+02
## prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished
## -6.468506e+00
## prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished
## 2.321502e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished
## -2.467402e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished
## -1.301666e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished
## -2.431292e-01
## prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished
## 1.940564e+02
## prdl.my.descr.fctriPadAir#1:color.fctrGold
## 9.070891e+01
## prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray
## 2.649701e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray
## 8.227978e+01
## prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray
## 6.275740e+01
## prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray
## -5.428358e+01
## prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray
## -2.101553e+01
## prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray
## -2.041579e+01
## prdl.my.descr.fctrUnknown#1:color.fctrUnknown
## 5.900624e+01
## prdl.my.descr.fctriPad 2#0:color.fctrUnknown
## -1.884197e+01
## prdl.my.descr.fctriPad 2#1:color.fctrUnknown
## -1.467393e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrUnknown
## -6.322391e+00
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 1.048553e+02
## prdl.my.descr.fctriPadAir#1:color.fctrUnknown
## -3.123221e+01
## prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown
## 8.812038e+00
## prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown
## 1.313345e+00
## prdl.my.descr.fctriPadmini#0:color.fctrUnknown
## 1.010172e+01
## prdl.my.descr.fctrUnknown#1:color.fctrWhite
## -2.791780e+01
## prdl.my.descr.fctriPad 1#0:color.fctrWhite
## -2.045361e+00
## prdl.my.descr.fctriPad 1#1:color.fctrWhite
## -2.517358e+01
## prdl.my.descr.fctriPad 2#0:color.fctrWhite
## -7.489887e+00
## prdl.my.descr.fctriPadAir#0:color.fctrWhite
## 6.877627e+01
## prdl.my.descr.fctriPadAir#1:color.fctrWhite
## 3.513801e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite
## 1.188127e+02
## prdl.my.descr.fctriPadmini#0:color.fctrWhite
## 1.481534e+00
## prdl.my.descr.fctriPadmini#1:color.fctrWhite
## -2.850269e+00
## prdl.my.descr.fctrUnknown#1:storage.fctr16
## 5.531147e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr16
## -2.143889e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr16
## 1.188160e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## -1.594457e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr16
## 6.503959e+00
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr16
## -5.028690e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr16
## -6.081613e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr16
## -1.521127e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr32
## -7.800577e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr32
## -2.089508e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr32
## 1.438759e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr32
## 2.244142e+00
## prdl.my.descr.fctriPadAir#0:storage.fctr32
## -1.652039e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr32
## -1.635201e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr32
## 4.591373e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr32
## -3.561669e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr64
## -1.061841e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr64
## -1.453424e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr64
## -1.880544e+00
## prdl.my.descr.fctriPad 2#0:storage.fctr64
## -3.899983e+00
## prdl.my.descr.fctriPad 2#1:storage.fctr64
## -6.984137e+00
## prdl.my.descr.fctriPad 3+#0:storage.fctr64
## 2.075975e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr64
## 3.215831e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr64
## -1.068792e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr64
## 1.500893e+02
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr64
## 2.576686e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr64
## -3.522697e+00
## prdl.my.descr.fctriPad 1#1:storage.fctrUnknown
## 1.416518e+02
## prdl.my.descr.fctriPad 2#0:storage.fctrUnknown
## -2.834201e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown
## 1.047813e+02
## prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown
## -2.653851e+01
## prdl.my.descr.fctriPadAir#1:storage.fctrUnknown
## -7.082972e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown
## 9.712222e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown
## 1.816146e+02
## prdl.my.descr.fctriPad 1#0:idseq.my
## -2.023126e-03
## prdl.my.descr.fctriPad 2#1:idseq.my
## 4.899222e-03
## prdl.my.descr.fctriPadAir#1:idseq.my
## -6.529937e-02
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## -3.235732e-02
## cellular.fctr1:carrier.fctrOther
## 2.504346e+00
## cellular.fctr1:carrier.fctrSprint
## -1.856590e+01
## cellular.fctr1:carrier.fctrT-Mobile
## 6.586499e+00
## cellular.fctr1:carrier.fctrUnknown
## 7.191926e+00
## cellular.fctrUnknown:carrier.fctrUnknown
## -9.811334e+00
## cellular.fctr1:carrier.fctrVerizon
## 2.026409e+00
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -2.899758e+00
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr2
## -1.109467e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2
## 1.019481e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr2
## 5.601787e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -2.389580e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 1.532314e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr3
## -2.413074e+00
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -1.169933e+02
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr4
## -2.957259e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -5.746798e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -2.160152e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr4
## 2.759626e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -2.416095e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 3.266209e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## -1.277136e+00
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr6
## 1.332702e+01
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## 2.987807e+02
## prdl.my.descr.fctriPad 1#0
## -1.251763e+01
## prdl.my.descr.fctriPad 1#1
## -2.113858e+02
## prdl.my.descr.fctriPad 2#0
## 9.022197e+00
## prdl.my.descr.fctriPad 3+#0
## 2.351562e+01
## prdl.my.descr.fctriPad 3+#1
## -8.225212e+01
## prdl.my.descr.fctriPadAir#0
## 1.595970e+02
## prdl.my.descr.fctriPadAir#1
## 2.743225e+02
## prdl.my.descr.fctriPadmini 2+#0
## 1.820254e+02
## prdl.my.descr.fctriPadmini 2+#1
## -1.876398e+02
## prdl.my.descr.fctriPadmini#0
## 1.099419e-03
## D.ratio.nstopwrds.nwrds
## -2.183489e+02
## .rnorm
## 3.458789e+00
## D.npnct14.log
## -3.560529e+01
## D.terms.n.stem.stop.Ratio
## -2.038866e+01
## D.ndgts.log
## -2.883992e+01
## D.npnct05.log
## -5.704121e+01
## D.npnct15.log
## -5.852603e+01
## D.npnct12.log
## 8.252415e+00
## D.npnct06.log
## -5.086049e+01
## D.npnct03.log
## 3.665672e+01
## D.npnct11.log
## -2.519520e+01
## D.npnct13.log
## -1.427490e+01
## D.nwrds.log
## 8.174569e+01
## D.terms.n.post.stop.log
## 5.148923e-01
## D.nuppr.log
## -3.054724e+01
## D.TfIdf.sum.post.stem
## -1.990092e-02
## D.sum.TfIdf
## -1.160039e-04
## D.npnct24.log
## -9.761356e+00
## D.TfIdf.sum.post.stop
## -3.152876e+00
## D.ratio.sum.TfIdf.nwrds
## -9.604884e+00
## D.nchrs.log
## -1.502491e+00
## D.TfIdf.sum.stem.stop.Ratio
## 1.384640e+02
## D.npnct16.log
## 1.200783e+01
## D.nstopwrds.log
## 1.104847e+01
## D.terms.n.post.stop
## -3.136938e+00
## biddable
## -1.309909e+02
## condition.fctrFor parts or not working
## -7.076825e+01
## condition.fctrManufacturer refurbished
## 9.402474e+01
## condition.fctrNew
## 5.225209e+01
## condition.fctrNew other (see details)
## 4.760662e+00
## condition.fctrSeller refurbished
## 2.310547e+01
## color.fctrSpace Gray
## 7.588404e+01
## color.fctrUnknown
## -1.324753e+01
## color.fctrWhite
## 7.092338e+01
## storage.fctr16
## -5.820437e+01
## storage.fctr32
## -4.811827e+01
## storage.fctr64
## 8.702479e+00
## storage.fctrUnknown
## -6.232843e+01
## idseq.my
## 4.926916e-02
## cellular.fctr1
## 4.810736e+00
## carrier.fctrOther
## 2.391477e+01
## carrier.fctrSprint
## -5.656286e+01
## carrier.fctrT-Mobile
## 1.580119e+01
## carrier.fctrVerizon
## 2.555684e+00
## prdl.my.descr.fctriPad 1#1:D.nchrs.log
## 1.478877e+01
## prdl.my.descr.fctriPad 2#1:D.nchrs.log
## -4.081794e+01
## prdl.my.descr.fctriPad 3+#1:D.nchrs.log
## 8.137168e+00
## prdl.my.descr.fctriPadAir#1:D.nchrs.log
## -3.088118e+01
## prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio
## 9.909658e+01
## prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio
## -3.734427e+01
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## 7.322743e+01
## prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio
## 7.674228e+00
## prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio
## 1.553591e+01
## prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio
## 2.484534e+01
## prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio
## -9.241971e+00
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 1.496999e+02
## prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio
## -1.147314e+02
## prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio
## 1.343260e+02
## prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio
## -2.740930e+01
## prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio
## 5.349102e+00
## prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio
## -1.239689e+02
## prdl.my.descr.fctrUnknown#1:D.npnct16.log
## 8.126582e+01
## prdl.my.descr.fctriPad 1#1:D.npnct16.log
## 9.125526e+01
## prdl.my.descr.fctriPad 2#1:D.npnct16.log
## 1.194108e+02
## prdl.my.descr.fctriPad 3+#1:D.npnct16.log
## -3.666764e+01
## prdl.my.descr.fctriPadAir#1:D.npnct16.log
## 9.240985e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log
## 6.592720e-01
## prdl.my.descr.fctriPadmini#1:D.npnct16.log
## -3.263706e+01
## prdl.my.descr.fctrUnknown#1:D.npnct01.log
## -7.726229e+01
## prdl.my.descr.fctriPad 1#1:D.npnct01.log
## -3.819887e+01
## prdl.my.descr.fctriPad 2#1:D.npnct01.log
## 7.007665e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct01.log
## -7.964901e+01
## prdl.my.descr.fctriPadAir#1:D.npnct01.log
## 7.143364e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log
## 3.967535e+02
## prdl.my.descr.fctriPadmini#1:D.npnct01.log
## -1.228687e+01
## prdl.my.descr.fctrUnknown#1:D.nstopwrds.log
## 1.186171e+01
## prdl.my.descr.fctriPad 1#1:D.nstopwrds.log
## -9.065598e+00
## prdl.my.descr.fctriPad 2#1:D.nstopwrds.log
## 1.938379e+01
## prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log
## 1.719486e+01
## prdl.my.descr.fctriPadAir#1:D.nstopwrds.log
## 3.685112e+01
## prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log
## 1.414319e+02
## prdl.my.descr.fctriPadmini#1:D.nstopwrds.log
## -1.162169e+01
## prdl.my.descr.fctrUnknown#1:D.npnct08.log
## 9.668833e+01
## prdl.my.descr.fctriPad 1#1:D.npnct08.log
## 8.013555e+01
## prdl.my.descr.fctriPad 2#1:D.npnct08.log
## -2.246382e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct08.log
## 6.975971e+00
## prdl.my.descr.fctriPadAir#1:D.npnct08.log
## 1.030137e+02
## prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log
## -1.848236e+02
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop
## 3.698816e+01
## prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop
## -2.741927e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop
## -1.462992e+01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop
## 7.056284e+00
## prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop
## -5.222801e+00
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem
## -3.118437e+01
## prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem
## -2.440763e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem
## 1.393660e+01
## prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem
## -1.136134e+01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem
## -1.319248e-04
## prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem
## -2.908165e+01
## prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem
## 6.086423e+00
## prdl.my.descr.fctrUnknown#1:biddable
## -4.553881e+01
## prdl.my.descr.fctriPad 1#0:biddable
## 8.088414e+01
## prdl.my.descr.fctriPad 1#1:biddable
## 6.444447e+01
## prdl.my.descr.fctriPad 2#0:biddable
## 2.535543e+01
## prdl.my.descr.fctriPad 2#1:biddable
## 1.588489e+01
## prdl.my.descr.fctriPad 3+#0:biddable
## 5.296586e+00
## prdl.my.descr.fctriPad 3+#1:biddable
## -3.147797e+00
## prdl.my.descr.fctriPadAir#0:biddable
## -7.446133e+01
## prdl.my.descr.fctriPadAir#1:biddable
## 2.681648e+01
## prdl.my.descr.fctriPadmini 2+#0:biddable
## -8.784385e+01
## prdl.my.descr.fctriPadmini 2+#1:biddable
## 6.489641e+01
## prdl.my.descr.fctriPadmini#0:biddable
## 3.125949e+01
## prdl.my.descr.fctriPadmini#1:biddable
## 5.164723e+01
## prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working
## -6.735728e+01
## prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working
## 2.490615e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working
## 2.359584e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working
## 6.985469e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working
## 5.801525e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working
## 1.462077e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working
## 3.274357e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working
## -4.163440e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working
## 2.653514e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working
## 6.351012e+01
## prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working
## -7.466340e+01
## prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working
## 3.106878e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working
## -3.281595e+00
## prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished
## -1.523606e+02
## prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished
## -1.084184e+02
## prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished
## -1.041457e+02
## prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished
## -1.303054e+02
## prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished
## -1.528838e+02
## prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished
## -3.310111e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished
## -2.050120e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished
## -2.223440e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished
## 4.981972e+01
## prdl.my.descr.fctriPad 1#0:condition.fctrNew
## 2.879692e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew
## -1.902316e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew
## 1.329093e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew
## 1.934468e+01
## prdl.my.descr.fctriPadmini#0:condition.fctrNew
## -1.857718e+00
## prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)
## 2.290516e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)
## -1.575044e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)
## -6.977661e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)
## 1.285242e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)
## 4.563268e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)
## -3.997168e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)
## 9.298287e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)
## -2.839013e-01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)
## 1.977569e+02
## prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)
## -1.286569e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)
## 2.568142e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)
## 4.204461e+01
## prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished
## -1.253461e+02
## prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished
## -4.083718e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished
## -4.762247e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished
## -6.783312e+00
## prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished
## -4.625348e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished
## -8.784323e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished
## -9.608283e+00
## prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished
## -1.993636e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished
## -4.375076e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished
## 1.834308e+02
## prdl.my.descr.fctriPad 3+#1:color.fctrGold
## -2.563117e+01
## prdl.my.descr.fctriPadAir#0:color.fctrGold
## 3.548492e+01
## prdl.my.descr.fctriPadAir#1:color.fctrGold
## 2.450912e+01
## prdl.my.descr.fctriPadmini 2+#0:color.fctrGold
## -1.865643e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrGold
## 1.453329e+02
## prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray
## -6.693249e+01
## prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray
## 2.384101e+00
## prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray
## -6.751092e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray
## 3.036435e+01
## prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray
## 5.702412e+01
## prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray
## -2.322628e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray
## -7.959742e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray
## -2.144247e+01
## prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray
## -5.564111e+01
## prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray
## -9.807925e+01
## prdl.my.descr.fctrUnknown#1:color.fctrUnknown
## 1.086096e+02
## prdl.my.descr.fctriPad 1#0:color.fctrUnknown
## 4.538161e+00
## prdl.my.descr.fctriPad 1#1:color.fctrUnknown
## 2.556575e+01
## prdl.my.descr.fctriPad 2#0:color.fctrUnknown
## -2.960055e+01
## prdl.my.descr.fctriPad 2#1:color.fctrUnknown
## -2.058241e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrUnknown
## -1.997371e+01
## prdl.my.descr.fctriPad 3+#1:color.fctrUnknown
## -2.837687e+01
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 1.483517e+02
## prdl.my.descr.fctriPadAir#1:color.fctrUnknown
## -1.443924e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown
## -1.451002e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown
## 1.852717e+01
## prdl.my.descr.fctriPadmini#0:color.fctrUnknown
## 3.277981e+01
## prdl.my.descr.fctriPadmini#1:color.fctrUnknown
## -2.247809e+01
## prdl.my.descr.fctrUnknown#1:color.fctrWhite
## -7.595693e+01
## prdl.my.descr.fctriPad 1#0:color.fctrWhite
## -7.738680e+01
## prdl.my.descr.fctriPad 1#1:color.fctrWhite
## -6.768773e+01
## prdl.my.descr.fctriPad 2#0:color.fctrWhite
## -7.496875e+01
## prdl.my.descr.fctriPad 2#1:color.fctrWhite
## -5.407452e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrWhite
## -6.928741e+01
## prdl.my.descr.fctriPad 3+#1:color.fctrWhite
## -8.653030e+01
## prdl.my.descr.fctriPadAir#0:color.fctrWhite
## 4.780099e+01
## prdl.my.descr.fctriPadAir#1:color.fctrWhite
## -1.159052e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite
## -8.768047e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite
## 1.142288e+02
## prdl.my.descr.fctriPadmini#0:color.fctrWhite
## -2.778478e+01
## prdl.my.descr.fctriPadmini#1:color.fctrWhite
## -9.510033e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr16
## -3.659318e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr16
## -7.450134e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr16
## 3.155640e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr16
## 1.759633e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr16
## 4.103870e+01
## prdl.my.descr.fctriPad 3+#1:storage.fctr16
## 1.006449e+02
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## -2.015028e+02
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr16
## -8.334613e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr16
## -9.301855e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr16
## 7.940513e+00
## prdl.my.descr.fctriPadmini#1:storage.fctr16
## 3.680695e-01
## prdl.my.descr.fctrUnknown#1:storage.fctr32
## -1.952834e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr32
## -1.169379e-01
## prdl.my.descr.fctriPad 1#1:storage.fctr32
## -9.307881e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr32
## 1.037561e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr32
## 3.866674e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr32
## 5.154825e+01
## prdl.my.descr.fctriPad 3+#1:storage.fctr32
## 9.261426e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr32
## -1.982073e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr32
## -4.672387e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr32
## -9.728238e+00
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr32
## -1.204192e-02
## prdl.my.descr.fctriPadmini#0:storage.fctr32
## 8.065196e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr32
## -7.431862e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr64
## -1.218471e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr64
## -5.713177e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr64
## -1.302529e+02
## prdl.my.descr.fctriPad 2#0:storage.fctr64
## -2.087951e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr64
## -3.532390e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr64
## 6.446648e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr64
## 7.343615e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr64
## -1.870326e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr64
## 1.569500e+02
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr64
## -6.787892e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr64
## -5.967454e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr64
## -2.081594e+00
## prdl.my.descr.fctriPadmini#1:storage.fctr64
## -6.087246e+01
## prdl.my.descr.fctrUnknown#1:storage.fctrUnknown
## -6.713696e+00
## prdl.my.descr.fctriPad 1#0:storage.fctrUnknown
## 2.217224e+00
## prdl.my.descr.fctriPad 1#1:storage.fctrUnknown
## 3.469085e+01
## prdl.my.descr.fctriPad 2#0:storage.fctrUnknown
## -6.280688e+00
## prdl.my.descr.fctriPad 2#1:storage.fctrUnknown
## 8.373145e+00
## prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown
## 1.704426e+02
## prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown
## 6.960143e+01
## prdl.my.descr.fctriPadAir#1:storage.fctrUnknown
## -7.275319e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown
## 1.130486e+02
## prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown
## 3.140636e+02
## prdl.my.descr.fctriPadmini#0:storage.fctrUnknown
## 3.661121e+01
## prdl.my.descr.fctriPadmini#1:storage.fctrUnknown
## 3.438490e+01
## prdl.my.descr.fctrUnknown#1:idseq.my
## -1.085387e-01
## prdl.my.descr.fctriPad 1#0:idseq.my
## -5.171231e-02
## prdl.my.descr.fctriPad 1#1:idseq.my
## -3.230617e-02
## prdl.my.descr.fctriPad 2#0:idseq.my
## -6.704649e-02
## prdl.my.descr.fctriPad 2#1:idseq.my
## -2.377128e-02
## prdl.my.descr.fctriPad 3+#0:idseq.my
## -6.581743e-02
## prdl.my.descr.fctriPad 3+#1:idseq.my
## -8.815816e-02
## prdl.my.descr.fctriPadAir#0:idseq.my
## -6.557691e-02
## prdl.my.descr.fctriPadAir#1:idseq.my
## -1.552514e-01
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## -1.310618e-01
## prdl.my.descr.fctriPadmini 2+#1:idseq.my
## 1.515977e-03
## prdl.my.descr.fctriPadmini#0:idseq.my
## -5.462532e-02
## prdl.my.descr.fctriPadmini#1:idseq.my
## -5.436435e-02
## cellular.fctr1:carrier.fctrOther
## 8.108021e+00
## cellular.fctr1:carrier.fctrSprint
## -1.999715e+00
## cellular.fctr1:carrier.fctrUnknown
## 1.086167e+01
## cellular.fctrUnknown:carrier.fctrUnknown
## -1.986554e+01
## cellular.fctr1:carrier.fctrVerizon
## 1.199573e+00
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr2
## -1.935762e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -1.129212e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr2
## -2.588055e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2
## -2.860114e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr2
## -4.082532e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2
## 2.500613e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr2
## 6.435662e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr3
## -1.041862e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr3
## 1.155878e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr3
## -4.097897e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -7.415734e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr3
## 2.176872e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 1.985358e+02
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr3
## 1.724046e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -2.717065e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr4
## 1.558815e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr4
## -1.517160e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -7.343661e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -5.966147e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr4
## 8.066409e+01
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr5
## 1.821727e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -5.137119e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 3.219718e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr5
## -1.396339e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## 4.371694e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr6
## 4.765782e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6
## 2.908936e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr6
## 6.293893e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr7
## -8.773462e+00
## character(0)
## character(0)
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.Interact.X.glmnet glmnet
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 9 8.833 1.212
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.7259295 87.30181 0.5435035 143.8721 0.5528008
## min.RMSESD.fit max.RsquaredSD.fit
## 1 4.74637 0.09558183
## label step_major step_minor bgn end elapsed
## 11 fit.models_1_glmnet 11 0 244.430 255.466 11.036
## 12 fit.models_1_rpart 12 0 255.466 NA NA
## [1] "fitting model: All.Interact.X.no.rnorm.rpart"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = model_id, model_method = method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.0000000
## 2 0.09076545 1 0.7705890
## 3 0.06838998 2 0.6798235
##
## Variable importance
## biddable
## 33
## prdl.my.descr.fctriPadAir#0:idseq.my
## 13
## prdl.my.descr.fctriPadAir#0
## 13
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 13
## prdl.my.descr.fctriPadAir#0:biddable
## 13
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 5
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## 5
## idseq.my
## 2
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## 1
## D.npnct15.log
## 1
## prdl.my.descr.fctrUnknown#1:idseq.my
## 1
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## 1
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.2294110, (0 missing)
## prdl.my.descr.fctriPadAir#0:idseq.my < 9.5 to the left, improve=0.1616753, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.1616753, (0 missing)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, improve=0.1616753, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.1303927, (0 missing)
## Surrogate splits:
## idseq.my < 1783.5 to the left, agree=0.757, adj=0.050, (0 split)
## prdl.my.descr.fctriPadmini 2+#0:idseq.my < 1420.5 to the left, agree=0.755, adj=0.041, (0 split)
## D.npnct15.log < 0.3465736 to the left, agree=0.750, adj=0.023, (0 split)
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio < 0.983895 to the left, agree=0.750, adj=0.023, (0 split)
## prdl.my.descr.fctrUnknown#1:idseq.my < 1771.5 to the left, agree=0.750, adj=0.023, (0 split)
##
## Node number 2: 640 observations, complexity param=0.09076545
## mean=90.63711, MSE=11139.65
## left son=4 (573 obs) right son=5 (67 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0:idseq.my < 42 to the left, improve=0.1880210, (0 missing)
## prdl.my.descr.fctriPadAir#0:biddable < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0:condition.fctrNew < 0.5 to the left, improve=0.1100772, (0 missing)
## Surrogate splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:biddable < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown < 0.5 to the left, agree=0.938, adj=0.403, (0 split)
## prdl.my.descr.fctriPadAir#0:storage.fctr16 < 0.5 to the left, agree=0.933, adj=0.358, (0 split)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 573 observations
## mean=74.98766, MSE=6718.483
##
## Node number 5: 67 observations
## mean=224.4749, MSE=28943.47
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0:idseq.my< 42 573 3849690 74.98766 *
## 5) prdl.my.descr.fctriPadAir#0:idseq.my>=42 67 1939212 224.47490 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.Interact.X.no.rnorm.rpart rpart
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 3.819 0.288
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.3201765 107.8897 0.3378758 173.2716 0.3378319
## min.RMSESD.fit max.RsquaredSD.fit
## 1 6.772421 0.06109591
## label step_major step_minor bgn end elapsed
## 12 fit.models_1_rpart 12 0 255.466 262.015 6.549
## 13 fit.models_1_rf 13 0 262.015 NA NA
## [1] "fitting model: All.Interact.X.no.rnorm.rf"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 231 on full training set
## Length Class Mode
## call 4 -none- call
## type 1 -none- character
## predicted 860 -none- numeric
## mse 500 -none- numeric
## rsq 500 -none- numeric
## oob.times 860 -none- numeric
## importance 460 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 11 -none- list
## coefs 0 -none- NULL
## y 860 -none- numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## xNames 460 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 1 -none- logical
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 All.Interact.X.no.rnorm.rf rf
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 299.495 50.474
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.8987088 91.32816 0.5978304 134.9818 0.5117025
## min.RMSESD.fit max.RsquaredSD.fit
## 1 3.041419 0.0846396# User specified
# Ensure at least 2 vars in each regression; else varImp crashes
# sav_models_lst <- glb_models_lst; sav_models_df <- glb_models_df; sav_featsimp_df <- glb_featsimp_df
# glb_models_lst <- sav_models_lst; glb_models_df <- sav_models_df; glm_featsimp_df <- sav_featsimp_df
# easier to exclude features
# require(gdata) # needed for trim
# model_id <- "";
# indep_vars_vctr <- head(subset(glb_models_df, grepl("All\\.X\\.", model_id), select=feats)
# , 1)[, "feats"]
# indep_vars_vctr <- trim(unlist(strsplit(indep_vars_vctr, "[,]")))
# indep_vars_vctr <- setdiff(indep_vars_vctr, ".rnorm")
# easier to include features
#stop(here"); sav_models_df <- glb_models_df; glb_models_df <- sav_models_df
# !_sp
# model_id <- "csm"; indep_vars_vctr <- c(NULL
# ,"prdline.my.fctr", "prdline.my.fctr:.clusterid.fctr"
# ,"prdline.my.fctr*biddable"
# #,"prdline.my.fctr*startprice.log"
# #,"prdline.my.fctr*startprice.diff"
# #,"prdline.my.fctr*idseq.my"
# ,"prdline.my.fctr*condition.fctr"
# ,"prdline.my.fctr*D.terms.n.post.stop"
# #,"prdline.my.fctr*D.terms.n.post.stem"
# ,"prdline.my.fctr*cellular.fctr"
# # ,"<feat1>:<feat2>"
# )
# for (method in glb_models_method_vctr) {
# ret_lst <- myfit_mdl(model_id=model_id, model_method=method,
# indep_vars_vctr=indep_vars_vctr,
# model_type=glb_model_type,
# rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
# fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
# n_cv_folds=glb_n_cv_folds, tune_models_df=glb_tune_models_df)
# csm_mdl_id <- paste0(model_id, ".", method)
# csm_featsimp_df <- myget_feats_importance(glb_models_lst[[paste0(model_id, ".",
# method)]]); print(head(csm_featsimp_df))
# }
###
# Ntv.1.lm <- lm(reformulate(indep_vars_vctr, glb_rsp_var), glb_trnobs_df); print(summary(Ntv.1.lm))
#csm_featsimp_df[grepl("H.npnct19.log", row.names(csm_featsimp_df)), , FALSE]
#print(sprintf("%s OOB confusion matrix & accuracy: ", csm_mdl_id)); print(t(confusionMatrix(csm_OOBobs_df[, paste0(glb_rsp_var_out, csm_mdl_id)], csm_OOBobs_df[, glb_rsp_var])$table))
#glb_models_df[, "max.Accuracy.OOB", FALSE]
#varImp(glb_models_lst[["Low.cor.X.glm"]])
#orderBy(~ -Overall, varImp(glb_models_lst[["All.X.2.glm"]])$importance)
#orderBy(~ -Overall, varImp(glb_models_lst[["All.X.3.glm"]])$importance)
#glb_feats_df[grepl("npnct28", glb_feats_df$id), ]
# User specified bivariate models
# indep_vars_vctr_lst <- list()
# for (feat in setdiff(names(glb_fitobs_df),
# union(glb_rsp_var, glb_exclude_vars_as_features)))
# indep_vars_vctr_lst[["feat"]] <- feat
# User specified combinatorial models
# indep_vars_vctr_lst <- list()
# combn_mtrx <- combn(c("<feat1_name>", "<feat2_name>", "<featn_name>"),
# <num_feats_to_choose>)
# for (combn_ix in 1:ncol(combn_mtrx))
# #print(combn_mtrx[, combn_ix])
# indep_vars_vctr_lst[[combn_ix]] <- combn_mtrx[, combn_ix]
# template for myfit_mdl
# rf is hard-coded in caret to recognize only Accuracy / Kappa evaluation metrics
# only for OOB in trainControl ?
# ret_lst <- myfit_mdl_fn(model_id=paste0(model_id_pfx, ""), model_method=method,
# indep_vars_vctr=indep_vars_vctr,
# rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
# fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
# n_cv_folds=glb_n_cv_folds, tune_models_df=glb_tune_models_df,
# model_loss_mtrx=glb_model_metric_terms,
# model_summaryFunction=glb_model_metric_smmry,
# model_metric=glb_model_metric,
# model_metric_maximize=glb_model_metric_maximize)
# Simplify a model
# fit_df <- glb_fitobs_df; glb_mdl <- step(<complex>_mdl)
# Non-caret models
# rpart_area_mdl <- rpart(reformulate("Area", response=glb_rsp_var),
# data=glb_fitobs_df, #method="class",
# control=rpart.control(cp=0.12),
# parms=list(loss=glb_model_metric_terms))
# print("rpart_sel_wlm_mdl"); prp(rpart_sel_wlm_mdl)
#
print(glb_models_df)## model_id model_method
## MFO.lm MFO.lm lm
## Max.cor.Y.cv.0.rpart Max.cor.Y.cv.0.rpart rpart
## Max.cor.Y.cv.0.cp.0.rpart Max.cor.Y.cv.0.cp.0.rpart rpart
## Max.cor.Y.rpart Max.cor.Y.rpart rpart
## Max.cor.Y.lm Max.cor.Y.lm lm
## Interact.High.cor.Y.lm Interact.High.cor.Y.lm lm
## Low.cor.X.lm Low.cor.X.lm lm
## All.X.lm All.X.lm lm
## All.X.glm All.X.glm glm
## All.X.bayesglm All.X.bayesglm bayesglm
## All.X.glmnet All.X.glmnet glmnet
## All.X.no.rnorm.rpart All.X.no.rnorm.rpart rpart
## All.X.no.rnorm.rf All.X.no.rnorm.rf rf
## All.Interact.X.lm All.Interact.X.lm lm
## All.Interact.X.glm All.Interact.X.glm glm
## All.Interact.X.bayesglm All.Interact.X.bayesglm bayesglm
## All.Interact.X.glmnet All.Interact.X.glmnet glmnet
## All.Interact.X.no.rnorm.rpart All.Interact.X.no.rnorm.rpart rpart
## All.Interact.X.no.rnorm.rf All.Interact.X.no.rnorm.rf rf
## feats
## MFO.lm .rnorm
## Max.cor.Y.cv.0.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.cv.0.cp.0.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.lm biddable, prdl.my.descr.fctr
## Interact.High.cor.Y.lm biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds
## Low.cor.X.lm prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.lm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.glm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.bayesglm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.glmnet prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.no.rnorm.rpart prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.no.rnorm.rf prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.lm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.glm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.bayesglm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.glmnet prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.no.rnorm.rpart prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.no.rnorm.rf prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything
## MFO.lm 0 0.491
## Max.cor.Y.cv.0.rpart 0 0.590
## Max.cor.Y.cv.0.cp.0.rpart 0 0.475
## Max.cor.Y.rpart 3 1.132
## Max.cor.Y.lm 1 0.988
## Interact.High.cor.Y.lm 1 1.009
## Low.cor.X.lm 1 1.319
## All.X.lm 1 1.366
## All.X.glm 1 1.447
## All.X.bayesglm 1 3.996
## All.X.glmnet 9 2.417
## All.X.no.rnorm.rpart 3 1.961
## All.X.no.rnorm.rf 3 84.471
## All.Interact.X.lm 1 2.571
## All.Interact.X.glm 1 3.190
## All.Interact.X.bayesglm 1 37.980
## All.Interact.X.glmnet 9 8.833
## All.Interact.X.no.rnorm.rpart 3 3.819
## All.Interact.X.no.rnorm.rf 3 299.495
## min.elapsedtime.final max.R.sq.fit
## MFO.lm 0.003 0.002018099
## Max.cor.Y.cv.0.rpart 0.016 0.000000000
## Max.cor.Y.cv.0.cp.0.rpart 0.013 0.517128889
## Max.cor.Y.rpart 0.017 0.318168008
## Max.cor.Y.lm 0.007 0.487126356
## Interact.High.cor.Y.lm 0.010 0.493470372
## Low.cor.X.lm 0.066 0.613856764
## All.X.lm 0.072 0.622169124
## All.X.glm 0.106 0.622169124
## All.X.bayesglm 0.695 0.621789429
## All.X.glmnet 0.182 0.598412545
## All.X.no.rnorm.rpart 0.092 0.318168008
## All.X.no.rnorm.rf 13.753 0.888838007
## All.Interact.X.lm 0.345 0.758876716
## All.Interact.X.glm 0.592 0.758876716
## All.Interact.X.bayesglm 10.588 0.757535048
## All.Interact.X.glmnet 1.212 0.725929471
## All.Interact.X.no.rnorm.rpart 0.288 0.320176474
## All.Interact.X.no.rnorm.rf 50.474 0.898708804
## min.RMSE.fit max.R.sq.OOB min.RMSE.OOB
## MFO.lm 130.91239 -0.0004922847 212.9927
## Max.cor.Y.cv.0.rpart 131.04468 0.0000000000 212.9402
## Max.cor.Y.cv.0.cp.0.rpart 91.06155 0.5481091142 143.1445
## Max.cor.Y.rpart 107.52547 0.3374985309 173.3210
## Max.cor.Y.lm 95.53887 0.5247269051 146.8011
## Interact.High.cor.Y.lm 95.59187 0.5232939261 147.0223
## Low.cor.X.lm 91.44190 0.6099577000 132.9884
## All.X.lm 92.08259 0.5843508430 137.2844
## All.X.glm 92.08259 0.5843508430 137.2844
## All.X.bayesglm 91.62821 0.5898456531 136.3741
## All.X.glmnet 89.07544 0.5869596554 136.8529
## All.X.no.rnorm.rpart 107.52547 0.3374985309 173.3210
## All.X.no.rnorm.rf 90.36456 0.6097868297 132.8396
## All.Interact.X.lm 140.35207 0.2722915375 181.6504
## All.Interact.X.glm 140.35207 0.2722915375 181.6504
## All.Interact.X.bayesglm 99.70935 0.4252476727 161.4353
## All.Interact.X.glmnet 87.30181 0.5435035293 143.8721
## All.Interact.X.no.rnorm.rpart 107.88969 0.3378758429 173.2716
## All.Interact.X.no.rnorm.rf 91.32816 0.5978303775 134.9818
## max.Adj.R.sq.fit max.Rsquared.fit
## MFO.lm 0.0008549497 NA
## Max.cor.Y.cv.0.rpart NA NA
## Max.cor.Y.cv.0.cp.0.rpart NA NA
## Max.cor.Y.rpart NA 0.3420840
## Max.cor.Y.lm 0.4786290410 0.4720972
## Interact.High.cor.Y.lm 0.4801565707 0.4722355
## Low.cor.X.lm 0.5742014897 0.5166192
## All.X.lm 0.5774001010 0.5119701
## All.X.glm NA 0.5119701
## All.X.bayesglm NA 0.5156085
## All.X.glmnet NA 0.5382498
## All.X.no.rnorm.rpart NA 0.3420840
## All.X.no.rnorm.rf NA 0.5180940
## All.Interact.X.lm 0.6340549455 0.2997963
## All.Interact.X.glm NA 0.2997963
## All.Interact.X.bayesglm NA 0.4786078
## All.Interact.X.glmnet NA 0.5528008
## All.Interact.X.no.rnorm.rpart NA 0.3378319
## All.Interact.X.no.rnorm.rf NA 0.5117025
## min.RMSESD.fit max.RsquaredSD.fit
## MFO.lm NA NA
## Max.cor.Y.cv.0.rpart NA NA
## Max.cor.Y.cv.0.cp.0.rpart NA NA
## Max.cor.Y.rpart 6.490951 0.06028494
## Max.cor.Y.lm 4.539280 0.05265800
## Interact.High.cor.Y.lm 4.645641 0.05926343
## Low.cor.X.lm 3.515068 0.07717565
## All.X.lm 3.024083 0.07265279
## All.X.glm 3.024083 0.07265279
## All.X.bayesglm 3.114391 0.07412579
## All.X.glmnet 3.191721 0.08510928
## All.X.no.rnorm.rpart 6.490951 0.06028494
## All.X.no.rnorm.rf 4.121061 0.09762013
## All.Interact.X.lm 24.842364 0.11837076
## All.Interact.X.glm 24.842364 0.11837076
## All.Interact.X.bayesglm 6.451989 0.10112168
## All.Interact.X.glmnet 4.746370 0.09558183
## All.Interact.X.no.rnorm.rpart 6.772421 0.06109591
## All.Interact.X.no.rnorm.rf 3.041419 0.08463960
## min.aic.fit
## MFO.lm NA
## Max.cor.Y.cv.0.rpart NA
## Max.cor.Y.cv.0.cp.0.rpart NA
## Max.cor.Y.rpart NA
## Max.cor.Y.lm NA
## Interact.High.cor.Y.lm NA
## Low.cor.X.lm NA
## All.X.lm NA
## All.X.glm 10175.45
## All.X.bayesglm 10294.32
## All.X.glmnet NA
## All.X.no.rnorm.rpart NA
## All.X.no.rnorm.rf NA
## All.Interact.X.lm NA
## All.Interact.X.glm 10193.20
## All.Interact.X.bayesglm 10533.97
## All.Interact.X.glmnet NA
## All.Interact.X.no.rnorm.rpart NA
## All.Interact.X.no.rnorm.rf NArm(ret_lst)
fit.models_1_chunk_df <- myadd_chunk(fit.models_1_chunk_df, "fit.models_1_end",
major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 13 fit.models_1_rf 13 0 262.015 564.222 302.207
## 14 fit.models_1_end 14 0 564.222 NA NAglb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.models", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 11 fit.models 7 1 81.476 564.23 482.754
## 12 fit.models 7 2 564.230 NA NAif (!is.null(glb_model_metric_smmry)) {
stats_df <- glb_models_df[, "model_id", FALSE]
stats_mdl_df <- data.frame()
for (model_id in stats_df$model_id) {
stats_mdl_df <- rbind(stats_mdl_df,
mypredict_mdl(glb_models_lst[[model_id]], glb_fitobs_df, glb_rsp_var,
glb_rsp_var_out, model_id, "fit",
glb_model_metric_smmry, glb_model_metric,
glb_model_metric_maximize, ret_type="stats"))
}
stats_df <- merge(stats_df, stats_mdl_df, all.x=TRUE)
stats_mdl_df <- data.frame()
for (model_id in stats_df$model_id) {
stats_mdl_df <- rbind(stats_mdl_df,
mypredict_mdl(glb_models_lst[[model_id]], glb_OOBobs_df, glb_rsp_var,
glb_rsp_var_out, model_id, "OOB",
glb_model_metric_smmry, glb_model_metric,
glb_model_metric_maximize, ret_type="stats"))
}
stats_df <- merge(stats_df, stats_mdl_df, all.x=TRUE)
print("Merging following data into glb_models_df:")
print(stats_mrg_df <- stats_df[, c(1, grep(glb_model_metric, names(stats_df)))])
print(tmp_models_df <- orderBy(~model_id, glb_models_df[, c("model_id",
grep(glb_model_metric, names(stats_df), value=TRUE))]))
tmp2_models_df <- glb_models_df[, c("model_id", setdiff(names(glb_models_df),
grep(glb_model_metric, names(stats_df), value=TRUE)))]
tmp3_models_df <- merge(tmp2_models_df, stats_mrg_df, all.x=TRUE, sort=FALSE)
print(tmp3_models_df)
print(names(tmp3_models_df))
print(glb_models_df <- subset(tmp3_models_df, select=-model_id.1))
}
plt_models_df <- glb_models_df[, -grep("SD|Upper|Lower", names(glb_models_df))]
for (var in grep("^min.", names(plt_models_df), value=TRUE)) {
plt_models_df[, sub("min.", "inv.", var)] <-
#ifelse(all(is.na(tmp <- plt_models_df[, var])), NA, 1.0 / tmp)
1.0 / plt_models_df[, var]
plt_models_df <- plt_models_df[ , -grep(var, names(plt_models_df))]
}
print(plt_models_df)## model_id model_method
## MFO.lm MFO.lm lm
## Max.cor.Y.cv.0.rpart Max.cor.Y.cv.0.rpart rpart
## Max.cor.Y.cv.0.cp.0.rpart Max.cor.Y.cv.0.cp.0.rpart rpart
## Max.cor.Y.rpart Max.cor.Y.rpart rpart
## Max.cor.Y.lm Max.cor.Y.lm lm
## Interact.High.cor.Y.lm Interact.High.cor.Y.lm lm
## Low.cor.X.lm Low.cor.X.lm lm
## All.X.lm All.X.lm lm
## All.X.glm All.X.glm glm
## All.X.bayesglm All.X.bayesglm bayesglm
## All.X.glmnet All.X.glmnet glmnet
## All.X.no.rnorm.rpart All.X.no.rnorm.rpart rpart
## All.X.no.rnorm.rf All.X.no.rnorm.rf rf
## All.Interact.X.lm All.Interact.X.lm lm
## All.Interact.X.glm All.Interact.X.glm glm
## All.Interact.X.bayesglm All.Interact.X.bayesglm bayesglm
## All.Interact.X.glmnet All.Interact.X.glmnet glmnet
## All.Interact.X.no.rnorm.rpart All.Interact.X.no.rnorm.rpart rpart
## All.Interact.X.no.rnorm.rf All.Interact.X.no.rnorm.rf rf
## feats
## MFO.lm .rnorm
## Max.cor.Y.cv.0.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.cv.0.cp.0.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.rpart biddable, prdl.my.descr.fctr
## Max.cor.Y.lm biddable, prdl.my.descr.fctr
## Interact.High.cor.Y.lm biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds
## Low.cor.X.lm prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.lm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.glm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.bayesglm prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.glmnet prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.no.rnorm.rpart prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.X.no.rnorm.rf prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.lm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.glm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.bayesglm prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.glmnet prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.no.rnorm.rpart prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## All.Interact.X.no.rnorm.rf prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns max.R.sq.fit max.R.sq.OOB
## MFO.lm 0 0.002018099 -0.0004922847
## Max.cor.Y.cv.0.rpart 0 0.000000000 0.0000000000
## Max.cor.Y.cv.0.cp.0.rpart 0 0.517128889 0.5481091142
## Max.cor.Y.rpart 3 0.318168008 0.3374985309
## Max.cor.Y.lm 1 0.487126356 0.5247269051
## Interact.High.cor.Y.lm 1 0.493470372 0.5232939261
## Low.cor.X.lm 1 0.613856764 0.6099577000
## All.X.lm 1 0.622169124 0.5843508430
## All.X.glm 1 0.622169124 0.5843508430
## All.X.bayesglm 1 0.621789429 0.5898456531
## All.X.glmnet 9 0.598412545 0.5869596554
## All.X.no.rnorm.rpart 3 0.318168008 0.3374985309
## All.X.no.rnorm.rf 3 0.888838007 0.6097868297
## All.Interact.X.lm 1 0.758876716 0.2722915375
## All.Interact.X.glm 1 0.758876716 0.2722915375
## All.Interact.X.bayesglm 1 0.757535048 0.4252476727
## All.Interact.X.glmnet 9 0.725929471 0.5435035293
## All.Interact.X.no.rnorm.rpart 3 0.320176474 0.3378758429
## All.Interact.X.no.rnorm.rf 3 0.898708804 0.5978303775
## max.Adj.R.sq.fit max.Rsquared.fit
## MFO.lm 0.0008549497 NA
## Max.cor.Y.cv.0.rpart NA NA
## Max.cor.Y.cv.0.cp.0.rpart NA NA
## Max.cor.Y.rpart NA 0.3420840
## Max.cor.Y.lm 0.4786290410 0.4720972
## Interact.High.cor.Y.lm 0.4801565707 0.4722355
## Low.cor.X.lm 0.5742014897 0.5166192
## All.X.lm 0.5774001010 0.5119701
## All.X.glm NA 0.5119701
## All.X.bayesglm NA 0.5156085
## All.X.glmnet NA 0.5382498
## All.X.no.rnorm.rpart NA 0.3420840
## All.X.no.rnorm.rf NA 0.5180940
## All.Interact.X.lm 0.6340549455 0.2997963
## All.Interact.X.glm NA 0.2997963
## All.Interact.X.bayesglm NA 0.4786078
## All.Interact.X.glmnet NA 0.5528008
## All.Interact.X.no.rnorm.rpart NA 0.3378319
## All.Interact.X.no.rnorm.rf NA 0.5117025
## inv.elapsedtime.everything
## MFO.lm 2.036659878
## Max.cor.Y.cv.0.rpart 1.694915254
## Max.cor.Y.cv.0.cp.0.rpart 2.105263158
## Max.cor.Y.rpart 0.883392226
## Max.cor.Y.lm 1.012145749
## Interact.High.cor.Y.lm 0.991080278
## Low.cor.X.lm 0.758150114
## All.X.lm 0.732064422
## All.X.glm 0.691085003
## All.X.bayesglm 0.250250250
## All.X.glmnet 0.413736036
## All.X.no.rnorm.rpart 0.509943906
## All.X.no.rnorm.rf 0.011838382
## All.Interact.X.lm 0.388953715
## All.Interact.X.glm 0.313479624
## All.Interact.X.bayesglm 0.026329647
## All.Interact.X.glmnet 0.113211819
## All.Interact.X.no.rnorm.rpart 0.261848651
## All.Interact.X.no.rnorm.rf 0.003338954
## inv.elapsedtime.final inv.RMSE.fit
## MFO.lm 333.33333333 0.007638697
## Max.cor.Y.cv.0.rpart 62.50000000 0.007630985
## Max.cor.Y.cv.0.cp.0.rpart 76.92307692 0.010981584
## Max.cor.Y.rpart 58.82352941 0.009300122
## Max.cor.Y.lm 142.85714286 0.010466944
## Interact.High.cor.Y.lm 100.00000000 0.010461140
## Low.cor.X.lm 15.15151515 0.010935905
## All.X.lm 13.88888889 0.010859816
## All.X.glm 9.43396226 0.010859816
## All.X.bayesglm 1.43884892 0.010913670
## All.X.glmnet 5.49450549 0.011226440
## All.X.no.rnorm.rpart 10.86956522 0.009300122
## All.X.no.rnorm.rf 0.07271141 0.011066286
## All.Interact.X.lm 2.89855072 0.007124939
## All.Interact.X.glm 1.68918919 0.007124939
## All.Interact.X.bayesglm 0.09444654 0.010029150
## All.Interact.X.glmnet 0.82508251 0.011454516
## All.Interact.X.no.rnorm.rpart 3.47222222 0.009268726
## All.Interact.X.no.rnorm.rf 0.01981218 0.010949525
## inv.RMSE.OOB inv.aic.fit
## MFO.lm 0.004694998 NA
## Max.cor.Y.cv.0.rpart 0.004696153 NA
## Max.cor.Y.cv.0.cp.0.rpart 0.006985950 NA
## Max.cor.Y.rpart 0.005769641 NA
## Max.cor.Y.lm 0.006811937 NA
## Interact.High.cor.Y.lm 0.006801691 NA
## Low.cor.X.lm 0.007519455 NA
## All.X.lm 0.007284149 NA
## All.X.glm 0.007284149 9.827570e-05
## All.X.bayesglm 0.007332773 9.714096e-05
## All.X.glmnet 0.007307116 NA
## All.X.no.rnorm.rpart 0.005769641 NA
## All.X.no.rnorm.rf 0.007527874 NA
## All.Interact.X.lm 0.005505079 NA
## All.Interact.X.glm 0.005505079 9.810466e-05
## All.Interact.X.bayesglm 0.006194433 9.493099e-05
## All.Interact.X.glmnet 0.006950620 NA
## All.Interact.X.no.rnorm.rpart 0.005771285 NA
## All.Interact.X.no.rnorm.rf 0.007408408 NAprint(myplot_radar(radar_inp_df=plt_models_df))## Warning in RColorBrewer::brewer.pal(n, pal): n too large, allowed maximum for palette Set1 is 9
## Returning the palette you asked for with that many colors## Warning: The shape palette can deal with a maximum of 6 discrete values
## because more than 6 becomes difficult to discriminate; you have
## 19. Consider specifying shapes manually if you must have them.## Warning: Removed 5 rows containing missing values (geom_path).## Warning: Removed 141 rows containing missing values (geom_point).## Warning: Removed 31 rows containing missing values (geom_text).## Warning in RColorBrewer::brewer.pal(n, pal): n too large, allowed maximum for palette Set1 is 9
## Returning the palette you asked for with that many colors## Warning: The shape palette can deal with a maximum of 6 discrete values
## because more than 6 becomes difficult to discriminate; you have
## 19. Consider specifying shapes manually if you must have them.
# print(myplot_radar(radar_inp_df=subset(plt_models_df,
# !(model_id %in% grep("random|MFO", plt_models_df$model_id, value=TRUE)))))
# Compute CI for <metric>SD
glb_models_df <- mutate(glb_models_df,
max.df = ifelse(max.nTuningRuns > 1, max.nTuningRuns - 1, NA),
min.sd2ci.scaler = ifelse(is.na(max.df), NA, qt(0.975, max.df)))
for (var in grep("SD", names(glb_models_df), value=TRUE)) {
# Does CI alredy exist ?
var_components <- unlist(strsplit(var, "SD"))
varActul <- paste0(var_components[1], var_components[2])
varUpper <- paste0(var_components[1], "Upper", var_components[2])
varLower <- paste0(var_components[1], "Lower", var_components[2])
if (varUpper %in% names(glb_models_df)) {
warning(varUpper, " already exists in glb_models_df")
# Assuming Lower also exists
next
}
print(sprintf("var:%s", var))
# CI is dependent on sample size in t distribution; df=n-1
glb_models_df[, varUpper] <- glb_models_df[, varActul] +
glb_models_df[, "min.sd2ci.scaler"] * glb_models_df[, var]
glb_models_df[, varLower] <- glb_models_df[, varActul] -
glb_models_df[, "min.sd2ci.scaler"] * glb_models_df[, var]
}## [1] "var:min.RMSESD.fit"
## [1] "var:max.RsquaredSD.fit"# Plot metrics with CI
plt_models_df <- glb_models_df[, "model_id", FALSE]
pltCI_models_df <- glb_models_df[, "model_id", FALSE]
for (var in grep("Upper", names(glb_models_df), value=TRUE)) {
var_components <- unlist(strsplit(var, "Upper"))
col_name <- unlist(paste(var_components, collapse=""))
plt_models_df[, col_name] <- glb_models_df[, col_name]
for (name in paste0(var_components[1], c("Upper", "Lower"), var_components[2]))
pltCI_models_df[, name] <- glb_models_df[, name]
}
build_statsCI_data <- function(plt_models_df) {
mltd_models_df <- melt(plt_models_df, id.vars="model_id")
mltd_models_df$data <- sapply(1:nrow(mltd_models_df),
function(row_ix) tail(unlist(strsplit(as.character(
mltd_models_df[row_ix, "variable"]), "[.]")), 1))
mltd_models_df$label <- sapply(1:nrow(mltd_models_df),
function(row_ix) head(unlist(strsplit(as.character(
mltd_models_df[row_ix, "variable"]),
paste0(".", mltd_models_df[row_ix, "data"]))), 1))
#print(mltd_models_df)
return(mltd_models_df)
}
mltd_models_df <- build_statsCI_data(plt_models_df)
mltdCI_models_df <- melt(pltCI_models_df, id.vars="model_id")
for (row_ix in 1:nrow(mltdCI_models_df)) {
for (type in c("Upper", "Lower")) {
if (length(var_components <- unlist(strsplit(
as.character(mltdCI_models_df[row_ix, "variable"]), type))) > 1) {
#print(sprintf("row_ix:%d; type:%s; ", row_ix, type))
mltdCI_models_df[row_ix, "label"] <- var_components[1]
mltdCI_models_df[row_ix, "data"] <-
unlist(strsplit(var_components[2], "[.]"))[2]
mltdCI_models_df[row_ix, "type"] <- type
break
}
}
}
wideCI_models_df <- reshape(subset(mltdCI_models_df, select=-variable),
timevar="type",
idvar=setdiff(names(mltdCI_models_df), c("type", "value", "variable")),
direction="wide")
#print(wideCI_models_df)
mrgdCI_models_df <- merge(wideCI_models_df, mltd_models_df, all.x=TRUE)
#print(mrgdCI_models_df)
# Merge stats back in if CIs don't exist
goback_vars <- c()
for (var in unique(mltd_models_df$label)) {
for (type in unique(mltd_models_df$data)) {
var_type <- paste0(var, ".", type)
# if this data is already present, next
if (var_type %in% unique(paste(mltd_models_df$label, mltd_models_df$data,
sep=".")))
next
#print(sprintf("var_type:%s", var_type))
goback_vars <- c(goback_vars, var_type)
}
}
if (length(goback_vars) > 0) {
mltd_goback_df <- build_statsCI_data(glb_models_df[, c("model_id", goback_vars)])
mltd_models_df <- rbind(mltd_models_df, mltd_goback_df)
}
mltd_models_df <- merge(mltd_models_df, glb_models_df[, c("model_id", "model_method")],
all.x=TRUE)
png(paste0(glb_out_pfx, "models_bar.png"), width=480*3, height=480*2)
print(gp <- myplot_bar(mltd_models_df, "model_id", "value", colorcol_name="model_method") +
geom_errorbar(data=mrgdCI_models_df,
mapping=aes(x=model_id, ymax=value.Upper, ymin=value.Lower), width=0.5) +
facet_grid(label ~ data, scales="free") +
theme(axis.text.x = element_text(angle = 90,vjust = 0.5)))## Warning: Removed 3 rows containing missing values (position_stack).dev.off()## quartz_off_screen
## 2print(gp)## Warning: Removed 3 rows containing missing values (position_stack).
# used for console inspection
get_model_sel_frmla <- function() {
model_evl_terms <- c(NULL)
for (metric in glb_model_evl_criteria)
model_evl_terms <- c(model_evl_terms,
ifelse(length(grep("max", metric)) > 0, "-", "+"), metric)
if (glb_is_classification && glb_is_binomial)
model_evl_terms <- c(model_evl_terms, "-", "opt.prob.threshold.OOB")
return(model_sel_frmla <- as.formula(paste(c("~ ", model_evl_terms), collapse=" ")))
}
dsp_models_cols <- c("model_id", glb_model_evl_criteria)
if (glb_is_classification && glb_is_binomial)
dsp_models_cols <- c(dsp_models_cols, "opt.prob.threshold.OOB")
print(dsp_models_df <- orderBy(model_sel_frmla <- get_model_sel_frmla(),
glb_models_df)[, dsp_models_cols])## model_id min.RMSE.fit max.R.sq.fit
## 17 All.Interact.X.glmnet 87.30181 0.725929471
## 11 All.X.glmnet 89.07544 0.598412545
## 13 All.X.no.rnorm.rf 90.36456 0.888838007
## 3 Max.cor.Y.cv.0.cp.0.rpart 91.06155 0.517128889
## 19 All.Interact.X.no.rnorm.rf 91.32816 0.898708804
## 7 Low.cor.X.lm 91.44190 0.613856764
## 10 All.X.bayesglm 91.62821 0.621789429
## 8 All.X.lm 92.08259 0.622169124
## 9 All.X.glm 92.08259 0.622169124
## 5 Max.cor.Y.lm 95.53887 0.487126356
## 6 Interact.High.cor.Y.lm 95.59187 0.493470372
## 16 All.Interact.X.bayesglm 99.70935 0.757535048
## 4 Max.cor.Y.rpart 107.52547 0.318168008
## 12 All.X.no.rnorm.rpart 107.52547 0.318168008
## 18 All.Interact.X.no.rnorm.rpart 107.88969 0.320176474
## 1 MFO.lm 130.91239 0.002018099
## 2 Max.cor.Y.cv.0.rpart 131.04468 0.000000000
## 14 All.Interact.X.lm 140.35207 0.758876716
## 15 All.Interact.X.glm 140.35207 0.758876716
## max.Adj.R.sq.fit
## 17 NA
## 11 NA
## 13 NA
## 3 NA
## 19 NA
## 7 0.5742014897
## 10 NA
## 8 0.5774001010
## 9 NA
## 5 0.4786290410
## 6 0.4801565707
## 16 NA
## 4 NA
## 12 NA
## 18 NA
## 1 0.0008549497
## 2 NA
## 14 0.6340549455
## 15 NAprint(myplot_radar(radar_inp_df=dsp_models_df))## Warning in RColorBrewer::brewer.pal(n, pal): n too large, allowed maximum for palette Set1 is 9
## Returning the palette you asked for with that many colors## Warning: The shape palette can deal with a maximum of 6 discrete values
## because more than 6 becomes difficult to discriminate; you have
## 19. Consider specifying shapes manually if you must have them.## Warning: Removed 8 rows containing missing values (geom_path).## Warning: Removed 49 rows containing missing values (geom_point).## Warning: Removed 13 rows containing missing values (geom_text).## Warning in RColorBrewer::brewer.pal(n, pal): n too large, allowed maximum for palette Set1 is 9
## Returning the palette you asked for with that many colors## Warning: The shape palette can deal with a maximum of 6 discrete values
## because more than 6 becomes difficult to discriminate; you have
## 19. Consider specifying shapes manually if you must have them.
print("Metrics used for model selection:"); print(model_sel_frmla)## [1] "Metrics used for model selection:"## ~+min.RMSE.fit - max.R.sq.fit - max.Adj.R.sq.fit
## <environment: 0x7fb41f79cfb8>print(sprintf("Best model id: %s", dsp_models_df[1, "model_id"]))## [1] "Best model id: All.Interact.X.glmnet"glb_get_predictions <- function(df, mdl_id, rsp_var_out, prob_threshold_def=NULL) {
mdl <- glb_models_lst[[mdl_id]]
rsp_var_out <- paste0(rsp_var_out, mdl_id)
if (glb_is_regression) {
df[, rsp_var_out] <- predict(mdl, newdata=df, type="raw")
print(myplot_scatter(df, glb_rsp_var, rsp_var_out, smooth=TRUE))
df[, paste0(rsp_var_out, ".err")] <-
abs(df[, rsp_var_out] - df[, glb_rsp_var])
print(head(orderBy(reformulate(c("-", paste0(rsp_var_out, ".err"))),
df)))
}
if (glb_is_classification && glb_is_binomial) {
prob_threshold <- glb_models_df[glb_models_df$model_id == mdl_id,
"opt.prob.threshold.OOB"]
if (is.null(prob_threshold) || is.na(prob_threshold)) {
warning("Using default probability threshold: ", prob_threshold_def)
if (is.null(prob_threshold <- prob_threshold_def))
stop("Default probability threshold is NULL")
}
df[, paste0(rsp_var_out, ".prob")] <-
predict(mdl, newdata=df, type="prob")[, 2]
df[, rsp_var_out] <-
factor(levels(df[, glb_rsp_var])[
(df[, paste0(rsp_var_out, ".prob")] >=
prob_threshold) * 1 + 1], levels(df[, glb_rsp_var]))
# prediction stats already reported by myfit_mdl ???
}
if (glb_is_classification && !glb_is_binomial) {
df[, rsp_var_out] <- predict(mdl, newdata=df, type="raw")
df[, paste0(rsp_var_out, ".prob")] <-
predict(mdl, newdata=df, type="prob")
}
return(df)
}
glb_to_sav <- function() {
sav_allobs_df <<- glb_allobs_df
sav_trnobs_df <<- glb_trnobs_df
sav_fitobs_df <<- glb_fitobs_df
sav_OOBobs_df <<- glb_OOBobs_df
sav_newobs_df <<- glb_newobs_df
if (!is.null(glb_models_lst )) sav_models_lst <<- glb_models_lst
if (!is.null(glb_models_df )) sav_models_df <<- glb_models_df
if (!is.null(glb_feats_df )) sav_feats_df <<- glb_feats_df
if (any(grepl("glb_fitsimp_df", ls(), fixed=TRUE)) &&
!is.null(glb_featsimp_df)) sav_featsimp_df <<- glb_featsimp_df
}
#stop(here"); glb_to_sav(); glb_allobs_df <- sav_allobs_df; glb_trnobs_df <- sav_trnobs_df; glb_fitobs_df <- sav_fitobs_df; glb_OOBobs_df <- sav_OOBobs_df; sav_models_df <- glb_models_df; glb_models_df <- sav_models_df; glb_featsimp_df <- sav_featsimp_df
if (!is.null(glb_sel_mdl_id) & (glb_sel_mdl_id == "Ensemble.glmnet")) {
if (#(glb_is_regression) |
((glb_is_classification) & (!glb_is_binomial)))
stop("Ensemble models not implemented yet for multinomial classification")
tmp_models_df <- orderBy(get_model_sel_frmla(), glb_models_df)
row.names(tmp_models_df) <- tmp_models_df$model_id
# mdl_threshold_pos <- min(which(tmp_models_df$model_id %in%
# c("MFO.myMFO_classfr", "Baseline.mybaseln_classfr"))) - 1
mdl_threshold_pos <- min(which(grepl("MFO|Baseline", tmp_models_df$model_id))) - 1
for (model_id in tmp_models_df$model_id[1:mdl_threshold_pos]) {
glb_fitobs_df <- glb_get_predictions(df=glb_fitobs_df, model_id, glb_rsp_var_out)
glb_OOBobs_df <- glb_get_predictions(df=glb_OOBobs_df, model_id, glb_rsp_var_out)
}
model_id <- "Ensemble"; method <- "glmnet";
#rex_str <- paste0(gsub(".", "\\.", glb_rsp_var_out, fixed=TRUE), "(.+)(?!(prob))")
#tmp_names <- tail(names(glb_fitobs_df), 5)
#match_pos <- gregexpr(rex_str, tmp_names, perl=TRUE)
indep_vars_vctr <- grep(glb_rsp_var_out, names(glb_fitobs_df), fixed=TRUE, value=TRUE)
if (glb_is_classification && glb_is_binomial)
indep_vars_vctr <- grep("prob$", indep_vars_vctr, value=TRUE)
else
indep_vars_vctr <- indep_vars_vctr[!grepl("err$", indep_vars_vctr)]
ret_lst <- myfit_mdl(model_id=model_id, model_method=method,
indep_vars_vctr=indep_vars_vctr,
model_type=glb_model_type,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_fitobs_df, OOB_df=glb_OOBobs_df,
n_cv_folds=glb_n_cv_folds, tune_models_df=glb_tune_models_df)
}## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 1704 11705
## 794 10794
## 1299 11300
## 792 10792
## 1523 11524
## description
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1299
## 792
## 1523
## biddable startprice condition cellular carrier color storage
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1299 1 650 New 1 Unknown Gold 128
## 792 1 550 Used 0 None Gold 128
## 1523 0 650 New 1 AT&T Unknown 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## startprice.log
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1299 6.476972
## 792 6.309918
## 1523 6.476972
## descr.my
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1299
## 792
## 1523
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1299 New 1 Unknown Gold 128
## 792 Used 0 None Gold 128
## 1523 New 1 AT&T Unknown 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1299 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1523 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1299 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1523 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1299 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## 1523 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1299 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1299 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## 1523 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1299 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## 1523 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1299 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## 1523 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1299 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## 1523 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1299 0 0 0 0 0
## 792 0 0 0 0 0
## 1523 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1299 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## 1523 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1299 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## 1523 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## 792 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1358 Unknown#0 1 1
## 1704 Unknown#0 1 1
## 794 iPadAir#1 1 1
## 1299 iPadAir#0 1 1
## 792 iPadAir#0 1 1
## 1523 iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1299 353.6184
## 792 276.5048
## 1523 386.5313
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1299 296.3816
## 792 273.4952
## 1523 263.4687## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2466 12468
## 1418 11419
## 2437 12439
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128 gb ATT factory unlock open box for unlock the ipad
## 1418
## 2437 Overall very good condition, very minor signs of use.
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2466 0 800.00 New other (see details) 1 AT&T
## 1418 1 700.00 Used Unknown Unknown
## 2437 0 659.49 Used 1 AT&T
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2466 Unknown 128 iPad Air 2 Test <NA> -0.14403644 2468
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2437 Space Gray 128 iPad Air 2 Test <NA> -1.03713857 2439
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2466 iPadAir 6.684612
## 1418 Unknown 6.551080
## 2437 iPadAir 6.491467
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128gb ATT factory unlock open box for unlock the ipad
## 1418
## 2437 Overall very good condition, very minor signs of use.
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2466 New other (see details) 1 AT&T Unknown
## 1418 Used Unknown Unknown Unknown
## 2437 Used 1 AT&T Space Gray
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2466 128 8 2.197225
## 1418 Unknown 0 0.000000
## 2437 128 6 1.945910
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2466 7.141834 8 2.197225
## 1418 0.000000 0 0.000000
## 2437 4.717469 6 1.945910
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2466 6.768608 1
## 1418 0.000000 1
## 2437 4.423194 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0.0000000 0 0
## 1396 1.0000000 0.0000000 0.0000000 0 0
## 2466 0.9477409 0.0000000 0.0000000 0 0
## 1418 1.0000000 0.0000000 0.0000000 0 0
## 2437 0.9376202 0.4021144 0.5317845 0 0
## 2507 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0.0000000
## 1396 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2466 0.0000000 0 0 0.7035203 0 0 0.4594223
## 1418 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2437 0.6255884 0 0 0.0000000 0 0 0.0000000
## 2507 0.0000000 0 0 0.0000000 0 0 0.0000000
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0.0000000 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.7508696 0
## 2507 0 0 0 0 0.0000000 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2466 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2437 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0.000000 0.0000000
## 1396 0 0 0 0 0 0.000000 0.0000000
## 2466 0 0 0 0 0 0.000000 0.5916151
## 1418 0 0 0 0 0 0.000000 0.0000000
## 2437 0 0 0 0 0 0.851466 0.0000000
## 2507 0 0 0 0 0 0.000000 0.0000000
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2466 0 0 0 0 2.639057 2.197225
## 1418 0 0 0 0 0.000000 0.000000
## 2437 0 0 0 0 2.302585 1.945910
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2466 6.768608 0.5206622 4.174387 3.891820
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2437 4.423194 0.4914660 3.988984 3.784190
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2466 1.609438 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2437 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.0986123 0
## 1396 0 0.0000000 0 0.0000000 0
## 2466 0 0.0000000 0 0.0000000 0
## 1418 0 0.0000000 0 0.0000000 0
## 2437 0 0.6931472 0 0.6931472 0
## 2507 0 0.0000000 0 0.0000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.945910
## 1396 0 0.0000000 0.0000000 0.000000
## 2466 0 0.0000000 0.6931472 1.098612
## 1418 0 0.0000000 0.0000000 0.000000
## 2437 0 0.0000000 0.6931472 1.386294
## 2507 0 0.0000000 0.0000000 0.000000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2466 0.2142857 0 1 0 0
## 1418 1.0000000 0 0 0 0
## 2437 0.4000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2466 iPadAir iPadAir#1 3 3
## 1418 Unknown Unknown#0 1 1
## 2437 iPadAir iPadAir#1 2 2
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2466 119.73755
## 1418 48.86094
## 2437 81.76848
## 2507 164.20329
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2466 680.2625
## 1418 651.1391
## 2437 577.7215
## 2507 565.7867## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1704 11705
## 1299 11300
## 794 10794
## 1358 11359
## 792 10792
## 438 10438
## description
## 1704
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1358
## 792
## 438
## biddable startprice condition cellular carrier color storage
## 1704 0 590 New Unknown Unknown White 16
## 1299 1 650 New 1 Unknown Gold 128
## 794 1 525 Used 0 None White 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 792 1 550 Used 0 None Gold 128
## 438 1 1 New 0 None Gold 64
## productline .src .grpid .rnorm idseq.my prdline.my
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 438 iPad Air 2 Train <NA> -1.8772574 438 iPadAir
## startprice.log
## 1704 6.380123
## 1299 6.476972
## 794 6.263398
## 1358 6.388561
## 792 6.309918
## 438 0.000000
## descr.my
## 1704
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1358
## 792
## 438
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1704 New Unknown Unknown White 16
## 1299 New 1 Unknown Gold 128
## 794 Used 0 None White 128
## 1358 New Unknown Unknown Unknown Unknown
## 792 Used 0 None Gold 128
## 438 New 0 None Gold 64
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1704 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1358 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 438 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1704 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1358 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 438 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1704 1 1.0000000 0.0000000
## 1299 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1358 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## 438 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1704 0.0000000 0 0 0 0 0 0
## 1299 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 438 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1704 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 438 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1704 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1704 0 0 0 0.0000000 0 0 0.000000
## 1299 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1358 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## 438 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1704 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1704 0 0 0 0.0000000 0 0
## 1299 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1358 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## 438 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1704 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1704 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0.000000 0.000000 0.000000
## 1299 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1358 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## 438 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0.0000000 0.000000 0.000000 0
## 1299 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1358 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## 438 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1299 0 0 0 0 0
## 794 0 0 0 0 0
## 1358 0 0 0 0 0
## 792 0 0 0 0 0
## 438 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0.000000 0 0
## 1299 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1358 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## 438 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0.0000000 0.000000 1.0
## 1299 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1358 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## 438 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 794 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 792 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1704 Unknown#0 1 1
## 1299 iPadAir#0 1 1
## 794 iPadAir#1 1 1
## 1358 Unknown#0 1 1
## 792 iPadAir#0 1 1
## 438 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1299 353.6184
## 794 192.0747
## 1358 233.6314
## 792 276.5048
## 438 233.7865
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1299 296.3816
## 794 332.9253
## 1358 361.3686
## 792 273.4952
## 438 232.7865
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1299 305.6479 344.3521
## 794 198.9953 326.0047
## 1358 270.3419 324.6581
## 792 240.5527 309.4473
## 438 305.9088 304.9088## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1418 11419
## 1282 11283
## 2501 12503
## 982 10982
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1282
## 2501
## 982
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1282 0 948.98 New 1 Unknown
## 2501 1 879.99 New 0 None
## 982 0 900.00 Used 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1418 Unknown 6.551080
## 1282 iPadmini 2+ 6.855388
## 2501 iPadAir 6.779911
## 982 iPadAir 6.802395
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1282
## 2501
## 982
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1282 New 1 Unknown Gold
## 2501 New 0 None Space Gray
## 982 Used 1 Unknown Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1418 Unknown 0 0.000000
## 1282 128 0 0.000000
## 2501 128 0 0.000000
## 982 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 1282 0.000000 1
## 2501 0.000000 1
## 982 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1418 48.86094
## 1282 422.55240
## 2501 411.99213
## 982 554.94469
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 1282 526.4276
## 2501 467.9979
## 982 345.0553
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1418 68.68414 631.3159
## 1282 369.80381 579.1762
## 2501 304.23592 575.7541
## 982 370.31653 529.6835## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 1299 11300
## 794 10794
## 1704 11705
## 1447 11448
## 792 10792
## description
## 1358
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 1447
## 792
## biddable startprice condition cellular carrier color storage
## 1358 0 595.00 New Unknown Unknown Unknown Unknown
## 1299 1 650.00 New 1 Unknown Gold 128
## 794 1 525.00 Used 0 None White 128
## 1704 0 590.00 New Unknown Unknown White 16
## 1447 0 4.69 New Unknown Unknown Unknown Unknown
## 792 1 550.00 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 1447 Unknown Train <NA> 3.7446833 1448 Unknown
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1358 6.388561
## 1299 6.476972
## 794 6.263398
## 1704 6.380123
## 1447 1.545433
## 792 6.309918
## descr.my
## 1358
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 1447
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1358 New Unknown Unknown Unknown Unknown
## 1299 New 1 Unknown Gold 128
## 794 Used 0 None White 128
## 1704 New Unknown Unknown White 16
## 1447 New Unknown Unknown Unknown Unknown
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1358 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1704 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1704 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1.0000000 0.0000000
## 1299 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1704 1 1.0000000 0.0000000
## 1447 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0.0000000 0 0 0 0 0 0
## 1299 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 1447 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 1447 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1299 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1704 0 0 0 0.0000000 0 0 0.000000
## 1447 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0.0000000 0 0
## 1299 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1704 0 0 0 0.0000000 0 0
## 1447 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0.000000 0.000000 0.000000
## 1299 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1704 0 0.000000 0.000000 0.000000
## 1447 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0.0000000 0.000000 0.000000 0
## 1299 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1704 0.0000000 0.000000 0.000000 0
## 1447 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 794 0 0 0 0 0
## 1704 0 0 0 0 0
## 1447 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0.000000 0 0
## 1299 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1704 0 0 0.000000 0 0
## 1447 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0.0000000 0.000000 1.0
## 1299 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1704 0 0.0000000 0.000000 1.0
## 1447 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 794 0 0 0 0 iPadAir
## 1704 0 0 0 0 Unknown
## 1447 0 0 0 0 Unknown
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1358 Unknown#0 1 1
## 1299 iPadAir#0 1 1
## 794 iPadAir#1 1 1
## 1704 Unknown#0 1 1
## 1447 Unknown#0 1 1
## 792 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1299 353.6184
## 794 192.0747
## 1704 245.8868
## 1447 236.3185
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 1299 296.3816
## 794 332.9253
## 1704 344.1132
## 1447 231.6285
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.6581
## 1299 305.6479 344.3521
## 794 198.9953 326.0047
## 1704 241.5433 348.4567
## 1447 269.4240 264.7340
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1299 400.1281
## 794 318.9829
## 1704 400.9275
## 1447 187.6060
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.2840
## 1299 249.8719
## 794 206.0171
## 1704 189.0725
## 1447 182.9160
## 792 179.3267## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1492 11493
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1492
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1492 1 729.99 New 0 None
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1492 iPadmini 2+ 6.593031
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1492
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1492 New 0 None White
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1492 128 0 0.000000
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1492 0.000000 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2507 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2507 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2507 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1492 209.89804
## 2507 164.20329
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1492 520.0920
## 2507 565.7867
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 2501 304.23592 575.7541
## 1418 68.68414 631.3159
## 1492 249.87741 480.1126
## 2507 221.42982 508.5602
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1492 136.42943
## 2507 140.49668
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1492 593.5606
## 2507 589.4933## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 794 10794
## 1358 11359
## 1704 11705
## 792 10792
## 1042 11042
## description
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1358
## 1704
## 792
## 1042
## biddable startprice condition cellular carrier color storage
## 1299 1 650 New 1 Unknown Gold 128
## 794 1 525 Used 0 None White 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 792 1 550 Used 0 None Gold 128
## 1042 1 528 New 1 Unknown Unknown 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 1042 iPad Air 2 Train <NA> 0.4804551 1042 iPadAir
## startprice.log
## 1299 6.476972
## 794 6.263398
## 1358 6.388561
## 1704 6.380123
## 792 6.309918
## 1042 6.269096
## descr.my
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1358
## 1704
## 792
## 1042
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 794 Used 0 None White 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 792 Used 0 None Gold 128
## 1042 New 1 Unknown Unknown 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1042 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1042 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## 1042 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 1042 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 1042 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1042 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## 1042 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 1042 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## 1042 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1042 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1042 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## 1042 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## 1042 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 794 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 792 0 0 0 0 0
## 1042 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## 1042 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## 1042 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 794 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 792 0 0 0 0 iPadAir
## 1042 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1299 iPadAir#0 1 1
## 794 iPadAir#1 1 1
## 1358 Unknown#0 1 1
## 1704 Unknown#0 1 1
## 792 iPadAir#0 1 1
## 1042 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 794 192.0747
## 1358 233.6314
## 1704 245.8868
## 792 276.5048
## 1042 440.3109
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.38156
## 794 332.92534
## 1358 361.36856
## 1704 344.11318
## 792 273.49524
## 1042 87.68914
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 794 198.9953 326.0047
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 792 240.5527 309.4473
## 1042 304.3018 223.6982
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 794 318.9829
## 1358 329.7160
## 1704 400.9275
## 792 370.6733
## 1042 438.6070
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.87189
## 794 206.01715
## 1358 265.28401
## 1704 189.07250
## 792 179.32671
## 1042 89.39305
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 794 125.7944
## 1358 224.5690
## 1704 224.5690
## 792 221.8944
## 1042 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 794 399.2056
## 1358 370.4310
## 1704 365.4310
## 792 328.1056
## 1042 306.1056## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1487 11488
## 1492 11493
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1487
## 1492
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1487 1 729.99 New 0 None
## 1492 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1487 iPadmini 2+ 6.593031
## 1492 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1487
## 1492
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1487 New 0 None Space Gray
## 1492 New 0 None White
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1487 128 0 0.000000
## 1492 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1487 0.000000 1
## 1492 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1487 221.84310
## 1492 209.89804
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1487 508.1469
## 1492 520.0920
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 2501 304.23592 575.7541
## 1418 68.68414 631.3159
## 1487 245.46677 484.5232
## 1492 249.87741 480.1126
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1487 147.05734
## 1492 136.42943
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1487 582.9327
## 1492 593.5606
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 2501 221.89441
## 1418 59.22906
## 1487 141.50079
## 1492 141.50079
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 2501 658.0956
## 1418 640.7709
## 1487 588.4892
## 1492 588.4892## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 792 10792
## 1447 11448
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 792
## 1447
## biddable startprice condition cellular carrier color storage
## 1299 1 650.00 New 1 Unknown Gold 128
## 1358 0 595.00 New Unknown Unknown Unknown Unknown
## 1704 0 590.00 New Unknown Unknown White 16
## 794 1 525.00 Used 0 None White 128
## 792 1 550.00 Used 0 None Gold 128
## 1447 0 4.69 New Unknown Unknown Unknown Unknown
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 1447 Unknown Train <NA> 3.7446833 1448 Unknown
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 792 6.309918
## 1447 1.545433
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 792
## 1447
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 792 Used 0 None Gold 128
## 1447 New Unknown Unknown Unknown Unknown
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 792 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 792 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 792 1 1.0000000 0.0000000
## 1447 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 1447 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 1447 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 792 0 0 0 0.0000000 0 0 0.000000
## 1447 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 792 0 0 0 0.0000000 0 0
## 1447 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 792 0 0.000000 0.000000 0.000000
## 1447 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 792 0.0000000 0.000000 0.000000 0
## 1447 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 792 0 0 0 0 0
## 1447 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 792 0 0 0.000000 0 0
## 1447 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 792 0 0.0000000 0.000000 1.0
## 1447 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 792 0 0 0 0 iPadAir
## 1447 0 0 0 0 Unknown
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1299 iPadAir#0 1 1
## 1358 Unknown#0 1 1
## 1704 Unknown#0 1 1
## 794 iPadAir#1 1 1
## 792 iPadAir#0 1 1
## 1447 Unknown#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 792 276.5048
## 1447 236.3185
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 792 273.4952
## 1447 231.6285
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 792 240.5527 309.4473
## 1447 269.4240 264.7340
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 792 370.6733
## 1447 187.6060
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 792 179.3267
## 1447 182.9160
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 792 221.8944
## 1447 224.5690
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 792 328.1056
## 1447 219.8790
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 792 371.6210
## 1447 182.2854
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 792 178.3790
## 1447 177.5954## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## 1418 11419
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 1418
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## 1418 Unknown 6.551080
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 1418
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## 1418 Unknown 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## 1418 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 1418 Unknown Unknown#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## 1418 48.86094
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## 1418 651.1391
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1492 249.87741 480.1126
## 2501 304.23592 575.7541
## 1487 245.46677 484.5232
## 1418 68.68414 631.3159
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 1492 136.42943
## 2501 241.74780
## 1487 147.05734
## 1418 68.68574
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## 1418 631.3143
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 1492 141.50079
## 2501 221.89441
## 1487 141.50079
## 1418 59.22906
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1492 588.4892
## 2501 658.0956
## 1487 588.4892
## 1418 640.7709
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## 1418 66.77037
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## 1418 633.2296## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 438 10438 1 1.00 New
## 1234 11235 1 0.99 New other (see details)
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 438 -1.8772574 438 iPadAir 0.00000000
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 438 New 0 None Gold
## 1234 New other (see details) 1 Unknown Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 438 64 0 0
## 1234 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 438 0 0 0
## 1234 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 438 0 1
## 1234 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 438 1 0 0 0 0
## 1234 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 438 0 0 0 0
## 1234 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 438 0 0 0 0 0
## 1234 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 438 0 0 0 0 0
## 1234 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 438 0 0 0 1
## 1234 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 438 0 0 0 0 iPadAir
## 1234 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1704 Unknown#0 1 1
## 1358 Unknown#0 1 1
## 438 iPadAir#0 1 1
## 1234 iPadAir#0 1 1
## 398 iPadAir#0 1 1
## 1299 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 438 233.7865
## 1234 263.4710
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 438 232.7865
## 1234 262.4810
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 438 305.9088 304.9088
## 1234 285.9075 284.9175
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 438 116.7367
## 1234 160.2606
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 438 115.7367
## 1234 159.2706
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 438 221.8944
## 1234 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 438 220.8944
## 1234 220.9044
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 438 111.7434
## 1234 142.8787
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 438 110.7434
## 1234 141.8887
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 438 293.9401 292.9401
## 1234 288.5288 287.5388
## 398 277.5331 276.5431
## 1299 382.2122 267.7878## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1418 11419
## 2632 12634
## 2501 12503
## 1764 11765
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## 2501
## 1764
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1418 1 700.00 Used Unknown Unknown
## 2632 0 700.00 Used 1 Verizon
## 2501 1 879.99 New 0 None
## 1764 1 500.00 For parts or not working Unknown Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2632 Unknown 32 iPad 2 Test <NA> 1.88359156 2634
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1764 Unknown Unknown Unknown Test <NA> -0.39510015 1765
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1418 Unknown 6.551080
## 2632 iPad 2 6.551080
## 2501 iPadAir 6.779911
## 1764 Unknown 6.214608
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## 2501
## 1764
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 2632 Used 1 Verizon Unknown
## 2501 New 0 None Space Gray
## 1764 For parts or not working Unknown Unknown Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1418 Unknown 0 0.000000
## 2632 32 8 2.197225
## 2501 128 0 0.000000
## 1764 Unknown 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 2632 7.047501 8 2.197225
## 2501 0.000000 0 0.000000
## 1764 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 2632 6.968494 1
## 2501 0.000000 1
## 1764 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## 2501 1.0000000 0.0000000 0 0 0
## 1764 1.0000000 0.0000000 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0
## 1396 0.0000000 0 0 0.0000000 0 0 0
## 1418 0.0000000 0 0 0.0000000 0 0 0
## 2632 0.4691913 0 0 0.4397002 0 0 0
## 2501 0.0000000 0 0 0.0000000 0 0 0
## 1764 0.0000000 0 0 0.0000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1764 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1764 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1764 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 2632 0 0 0 0 2.484907 2.197225
## 2501 0 0 0 0 0.000000 0.000000
## 1764 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2632 6.968494 0.6334994 4.077537 3.713572
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1764 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2632 1.609438 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1764 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## 2501 0 0.0000000 0 0.000000 0
## 1764 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## 2501 0 0.0000000 0.0000000 0.0000000
## 1764 0 0.0000000 0.0000000 0.0000000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1764 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 2632 iPad 2 iPad 2#1 2 2
## 2501 iPadAir iPadAir#0 1 1
## 1764 Unknown Unknown#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.228454
## 1396 252.561346
## 1418 48.860942
## 2632 184.139167
## 2501 411.992133
## 1764 6.224095
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 2632 515.8608
## 2501 467.9979
## 1764 493.7759
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1418 68.68414 631.3159
## 2632 172.96150 527.0385
## 2501 304.23592 575.7541
## 1764 15.88218 484.1178
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 2632 221.29721
## 2501 241.74780
## 1764 26.10928
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 2632 478.7028
## 2501 638.2422
## 1764 473.8907
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 1418 59.22906
## 2632 160.07737
## 2501 221.89441
## 1764 59.22906
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1418 640.7709
## 2632 539.9226
## 2501 658.0956
## 1764 440.7709
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 2632 195.77455
## 2501 229.24957
## 1764 21.83392
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1418 633.2296
## 2632 504.2255
## 2501 650.7404
## 1764 478.1661
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2271510 821.7628
## 1396 196.5086283 802.4914
## 1418 55.4959976 644.5040
## 2632 173.1583605 526.8416
## 2501 372.1602595 507.8297
## 1764 -0.3076566 500.3077## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1704 Unknown#0 1 1
## 1358 Unknown#0 1 1
## 1234 iPadAir#0 1 1
## 438 iPadAir#0 1 1
## 398 iPadAir#0 1 1
## 1299 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err
## 1704 346.5888
## 1358 336.1528
## 1234 291.2836
## 438 290.5352
## 398 278.7165
## 1299 267.1893## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1207 11207
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1207 #6428
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1207 0 124.95 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 2623 6.907745
## 1396 6.906755
## 1207 4.827914
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1207 #6428
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1207 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1207 16 1 0.6931472
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1207 11.375583 1 0.6931472
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1207 11.375583 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1207 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1207 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1207 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1207 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1207 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1207 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1207 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1207 0 0 0 0 0.6931472 0.6931472
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1207 11.375583 11.3755825 1.791759 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1207 1.609438 0 0.6931472 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1207 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1207 0 0.0000000 0.6931472 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1207 0.5000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1207 iPad 1 iPad 1#1 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1207 -71.34341
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1207 196.2934
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1207 -48.15248 173.1025
## 1418 68.68414 631.3159
## 1286 169.84214 370.1579
## 2632 172.96150 527.0385
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 1207 150.82320
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1207 25.8732
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 1207 64.54067
## 1418 59.22906
## 1286 200.69955
## 2632 160.07737
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.56714
## 1396 810.06400
## 1207 60.40933
## 1418 640.77094
## 1286 339.30045
## 2632 539.92263
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 1207 138.38382
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.10075
## 1396 793.24785
## 1207 13.43382
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1207 -186.6562 311.6062
## 1418 55.4960 644.5040
## 1286 166.2236 373.7764
## 2632 173.1584 526.8416
## startprice.predict.All.X.bayesglm
## 2623 180.269772
## 1396 196.893923
## 1207 -602.876192
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1207 727.8262
## 1418 644.9620
## 1286 531.3591
## 2632 524.6195## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1704 Unknown#0 1 1
## 1358 Unknown#0 1 1
## 1234 iPadAir#0 1 1
## 438 iPadAir#0 1 1
## 398 iPadAir#0 1 1
## 1299 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 1234 291.2836 292.6160
## 438 290.5352 291.4525
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err
## 1704 346.9215
## 1358 335.8169
## 1234 291.6260
## 438 290.4525
## 398 278.3775
## 1299 266.9727## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 1207 11207
## 2623 12625
## 1396 11397
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 1207 0 124.95 Used 0 None Unknown
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 1207 4.827914
## 2623 6.907745
## 1396 6.906755
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1207 Used 0 None Unknown
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1207 16 1 0.6931472
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1207 11.375583 1 0.6931472
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1207 11.375583 1
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1207 1.0000000 0.0000000 0 0 0
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1207 0 0 0 0 0 0.000000
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 1207 0 0 0 0 0.0000000 0
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 1207 0 0 0 0 0.6931472 0.6931472
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1207 11.375583 11.3755825 1.791759 0.000000
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 1207 1.609438 0 0.6931472 0 0.0000000
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 1207 0 0.0000000 0 0.000000 0
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 1207 0 0.0000000 0.6931472 0.0000000
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 1207 0.5000000 0 0 0 0
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1207 iPad 1 iPad 1#1 1 1
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.glmnet
## 1207 -71.34341
## 2623 87.22845
## 1396 252.56135
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.glmnet.err
## 1207 196.2934
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1207 -48.15248 173.1025
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1418 68.68414 631.3159
## 1286 169.84214 370.1579
## 2632 172.96150 527.0385
## startprice.predict.All.X.no.rnorm.rf
## 1207 150.82320
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.rf.err
## 1207 25.8732
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1207 64.54067
## 2623 188.42286
## 1396 188.93600
## 1418 59.22906
## 1286 200.69955
## 2632 160.07737
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1207 60.40933
## 2623 811.56714
## 1396 810.06400
## 1418 640.77094
## 1286 339.30045
## 2632 539.92263
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1207 138.38382
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1207 13.43382
## 2623 861.10075
## 1396 793.24785
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1207 -186.6562 311.6062
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1418 55.4960 644.5040
## 1286 166.2236 373.7764
## 2632 173.1584 526.8416
## startprice.predict.All.X.bayesglm
## 1207 -602.876192
## 2623 180.269772
## 1396 196.893923
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1207 727.8262 -710.10001
## 2623 819.7202 194.65243
## 1396 802.1061 196.67298
## 1418 644.9620 55.00877
## 1286 531.3591 -19.21654
## 2632 524.6195 171.90210
## startprice.predict.All.X.lm.err
## 1207 835.0500
## 2623 805.3376
## 1396 802.3270
## 1418 644.9912
## 1286 559.2165
## 2632 528.0979## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1704 Unknown#0 1 1
## 1358 Unknown#0 1 1
## 1234 iPadAir#0 1 1
## 438 iPadAir#0 1 1
## 398 iPadAir#0 1 1
## 1299 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 1234 291.2836 292.6160
## 438 290.5352 291.4525
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1704 346.9215 243.0785
## 1358 335.8169 259.1831
## 1234 291.6260 292.6160
## 438 290.4525 291.4525
## 398 278.3775 279.3675
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err
## 1704 346.9215
## 1358 335.8169
## 1234 291.6260
## 438 290.4525
## 398 278.3775
## 1299 266.9727## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 1207 11207
## 2623 12625
## 1396 11397
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 1207 0 124.95 Used 0 None Unknown
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 1207 4.827914
## 2623 6.907745
## 1396 6.906755
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1207 Used 0 None Unknown
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1207 16 1 0.6931472
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1207 11.375583 1 0.6931472
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1207 11.375583 1
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1207 1.0000000 0.0000000 0 0 0
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1207 0 0 0 0 0 0.000000
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 1207 0 0 0 0 0.0000000 0
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 1207 0 0 0 0 0.6931472 0.6931472
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1207 11.375583 11.3755825 1.791759 0.000000
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 1207 1.609438 0 0.6931472 0 0.0000000
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 1207 0 0.0000000 0 0.000000 0
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 1207 0 0.0000000 0.6931472 0.0000000
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 1207 0.5000000 0 0 0 0
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1207 iPad 1 iPad 1#1 1 1
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.glmnet
## 1207 -71.34341
## 2623 87.22845
## 1396 252.56135
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.glmnet.err
## 1207 196.2934
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1207 -48.15248 173.1025
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 1418 68.68414 631.3159
## 1286 169.84214 370.1579
## 2632 172.96150 527.0385
## startprice.predict.All.X.no.rnorm.rf
## 1207 150.82320
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.rf.err
## 1207 25.8732
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1207 64.54067
## 2623 188.42286
## 1396 188.93600
## 1418 59.22906
## 1286 200.69955
## 2632 160.07737
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1207 60.40933
## 2623 811.56714
## 1396 810.06400
## 1418 640.77094
## 1286 339.30045
## 2632 539.92263
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1207 138.38382
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1207 13.43382
## 2623 861.10075
## 1396 793.24785
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1207 -186.6562 311.6062
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1418 55.4960 644.5040
## 1286 166.2236 373.7764
## 2632 173.1584 526.8416
## startprice.predict.All.X.bayesglm
## 1207 -602.876192
## 2623 180.269772
## 1396 196.893923
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1207 727.8262 -710.10001
## 2623 819.7202 194.65243
## 1396 802.1061 196.67298
## 1418 644.9620 55.00877
## 1286 531.3591 -19.21654
## 2632 524.6195 171.90210
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1207 835.0500 -710.10001
## 2623 805.3376 194.65243
## 1396 802.3270 196.67298
## 1418 644.9912 55.00877
## 1286 559.2165 -19.21654
## 2632 528.0979 171.90210
## startprice.predict.All.X.glm.err
## 1207 835.0500
## 2623 805.3376
## 1396 802.3270
## 1418 644.9912
## 1286 559.2165
## 2632 528.0979## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 1523 11524
## 792 10792
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## biddable startprice condition cellular carrier color storage
## 1299 1 650 New 1 Unknown Gold 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1523 0 650 New 1 AT&T Unknown 128
## 792 1 550 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1523 6.476972
## 792 6.309918
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1523 New 1 AT&T Unknown 128
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1523 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1523 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1523 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1523 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1523 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1523 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1523 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1523 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1299 iPadAir#0 1 1
## 1358 Unknown#0 1 1
## 1704 Unknown#0 1 1
## 794 iPadAir#1 1 1
## 1523 iPadmini 2+#0 1 1
## 792 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 1523 363.3115 286.6885
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 1523 362.2824
## 792 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 1523 287.7176
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1299 382.2122 267.7878
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 1523 438.0885 211.9115
## 792 313.2756 236.7244
## startprice.predict.All.X.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1299 267.1893 383.0273
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 1523 212.2680 439.0099
## 792 236.9420 313.2768
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1299 266.9727 383.0273
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 1523 210.9901 439.0099
## 792 236.7232 313.2768
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1299 266.9727 237.2502
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 1523 210.9901 310.0750
## 792 236.7232 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1282 11283
## 793 10793
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1282 0 948.98 New 1 Unknown
## 793 1 800.00 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 793 Gold 128 iPad Air 2 Test <NA> 0.16121641 793
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1282 iPadmini 2+ 6.855388
## 793 iPadAir 6.684612
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1282 New 1 Unknown Gold
## 793 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1282 128 0 0.000000
## 793 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 793 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1282 0.000000 1
## 793 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 793 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 793 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 793 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 793 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 793 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 793 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 793 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 793 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1282 422.55240
## 793 355.70206
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1282 526.4276
## 793 444.2979
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 2501 304.23592 575.7541
## 1418 68.68414 631.3159
## 1282 369.80381 579.1762
## 793 310.87665 489.1234
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1282 479.12778
## 793 389.35336
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1282 469.8522
## 793 410.6466
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 2501 221.89441
## 1418 59.22906
## 1282 362.28238
## 793 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 2501 658.0956
## 1418 640.7709
## 1282 586.6976
## 793 578.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 2501 229.24957
## 1418 66.77037
## 1282 453.65462
## 793 399.26642
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 2501 650.7404
## 1418 633.2296
## 1282 495.3254
## 793 400.7336
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 2501 372.1603 507.8297
## 1418 55.4960 644.5040
## 1282 454.4696 494.5104
## 793 389.9706 410.0294
## startprice.predict.All.X.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2501 373.74123
## 1418 55.03804
## 1282 454.93903
## 793 390.43568
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.65243
## 1396 802.1061 196.67298
## 2501 506.2488 372.97240
## 1418 644.9620 55.00877
## 1282 494.0410 455.37422
## 793 409.5643 390.92182
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.65243
## 1396 802.3270 196.67298
## 2501 507.0176 372.97240
## 1418 644.9912 55.00877
## 1282 493.6058 455.37422
## 793 409.0782 390.92182
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.63239
## 1396 802.3270 210.07166
## 2501 507.0176 237.25017
## 1418 644.9912 59.15977
## 1282 493.6058 310.07498
## 793 409.0782 237.25017
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 2501 642.7398
## 1418 640.8402
## 1282 638.9050
## 793 562.7498## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 1523 11524
## 792 10792
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## biddable startprice condition cellular carrier color storage
## 1299 1 650 New 1 Unknown Gold 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1523 0 650 New 1 AT&T Unknown 128
## 792 1 550 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1523 6.476972
## 792 6.309918
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1523 New 1 AT&T Unknown 128
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1523 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1523 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1523 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1523 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1523 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1523 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1523 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1523 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1299 iPadAir#0 1 1
## 1358 Unknown#0 1 1
## 1704 Unknown#0 1 1
## 794 iPadAir#1 1 1
## 1523 iPadmini 2+#0 1 1
## 792 iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 1523 363.3115 286.6885
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 1523 362.2824
## 792 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 1523 287.7176
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1299 382.2122 267.7878
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 1523 438.0885 211.9115
## 792 313.2756 236.7244
## startprice.predict.All.X.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1299 267.1893 383.0273
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 1523 212.2680 439.0099
## 792 236.9420 313.2768
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1299 266.9727 383.0273
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 1523 210.9901 439.0099
## 792 236.7232 313.2768
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1299 266.9727 237.2502
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 1523 210.9901 310.0750
## 792 236.7232 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1299 235.7130
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 1523 313.5584
## 792 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1299 414.2870
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 1523 336.4416
## 792 314.2870## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1282 11283
## 793 10793
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1282 0 948.98 New 1 Unknown
## 793 1 800.00 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 793 Gold 128 iPad Air 2 Test <NA> 0.16121641 793
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1282 iPadmini 2+ 6.855388
## 793 iPadAir 6.684612
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1282 New 1 Unknown Gold
## 793 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1282 128 0 0.000000
## 793 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 793 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1282 0.000000 1
## 793 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 793 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 793 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 793 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 793 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 793 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 793 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 793 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 793 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1282 422.55240
## 793 355.70206
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1282 526.4276
## 793 444.2979
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 2501 304.23592 575.7541
## 1418 68.68414 631.3159
## 1282 369.80381 579.1762
## 793 310.87665 489.1234
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1282 479.12778
## 793 389.35336
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1282 469.8522
## 793 410.6466
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 2501 221.89441
## 1418 59.22906
## 1282 362.28238
## 793 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 2501 658.0956
## 1418 640.7709
## 1282 586.6976
## 793 578.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 2501 229.24957
## 1418 66.77037
## 1282 453.65462
## 793 399.26642
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 2501 650.7404
## 1418 633.2296
## 1282 495.3254
## 793 400.7336
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 2501 372.1603 507.8297
## 1418 55.4960 644.5040
## 1282 454.4696 494.5104
## 793 389.9706 410.0294
## startprice.predict.All.X.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2501 373.74123
## 1418 55.03804
## 1282 454.93903
## 793 390.43568
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.65243
## 1396 802.1061 196.67298
## 2501 506.2488 372.97240
## 1418 644.9620 55.00877
## 1282 494.0410 455.37422
## 793 409.5643 390.92182
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.65243
## 1396 802.3270 196.67298
## 2501 507.0176 372.97240
## 1418 644.9912 55.00877
## 1282 493.6058 455.37422
## 793 409.0782 390.92182
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.63239
## 1396 802.3270 210.07166
## 2501 507.0176 237.25017
## 1418 644.9912 59.15977
## 1282 493.6058 310.07498
## 793 409.0782 237.25017
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 2501 642.7398
## 1418 640.8402
## 1282 638.9050
## 793 562.7498
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.67640
## 1396 214.11095
## 2501 235.71301
## 1418 57.43364
## 1282 313.55844
## 793 235.71301
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 2501 644.2770
## 1418 642.5664
## 1282 635.4216
## 793 564.2870## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 794 10794
## 1704 11705
## 459 10459
## 1234 11235
## 1299 11300
## description
## 1358
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 459
## 1234
## 1299
## biddable startprice condition cellular carrier color
## 1358 0 595.00 New Unknown Unknown Unknown
## 794 1 525.00 Used 0 None White
## 1704 0 590.00 New Unknown Unknown White
## 459 1 0.99 New 1 Unknown Unknown
## 1234 1 0.99 New other (see details) 1 Unknown Gold
## 1299 1 650.00 New 1 Unknown Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Unknown Train <NA> 2.2851702 1359 Unknown
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1704 16 Unknown Train <NA> 0.6120207 1705 Unknown
## 459 64 iPad mini 3 Train <NA> 0.2140562 459 iPadmini 2+
## 1234 64 iPad Air 2 Train <NA> -0.6666041 1235 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## startprice.log
## 1358 6.38856141
## 794 6.26339826
## 1704 6.38012254
## 459 -0.01005034
## 1234 -0.01005034
## 1299 6.47697236
## descr.my
## 1358
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 459
## 1234
## 1299
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1358 New Unknown Unknown Unknown
## 794 Used 0 None White
## 1704 New Unknown Unknown White
## 459 New 1 Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1358 Unknown 0 0.000000
## 794 128 7 2.079442
## 1704 16 0 0.000000
## 459 64 0 0.000000
## 1234 64 0 0.000000
## 1299 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1358 0.000000 0 0.000000
## 794 4.983944 7 2.079442
## 1704 0.000000 0 0.000000
## 459 0.000000 0 0.000000
## 1234 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1358 0.000000 1
## 794 4.925069 1
## 1704 0.000000 1
## 459 0.000000 1
## 1234 0.000000 1
## 1299 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1358 1.0000000 0.0000000 0.0000000 0 0
## 794 0.9881871 0.3446695 0.4558153 0 0
## 1704 1.0000000 0.0000000 0.0000000 0 0
## 459 1.0000000 0.0000000 0.0000000 0 0
## 1234 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1358 0 0 0 0 0 0.0000000 0
## 794 0 0 0 0 0 0.6759609 0
## 1704 0 0 0 0 0 0.0000000 0
## 459 0 0 0 0 0 0.0000000 0
## 1234 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 1358 0.0000000 0 0 0.000000 0 0 0
## 794 0.8068089 0 0 0.758499 0 0 0
## 1704 0.0000000 0 0 0.000000 0 0 0
## 459 0.0000000 0 0 0.000000 0 0 0
## 1234 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 1358 0 0.0000000 0 0 0 0
## 794 0 0.9044555 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 459 0 0.0000000 0 0 0 0
## 1234 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 1358 0 0 0 0 0 0.000000
## 794 0 0 0 0 0 2.302585
## 1704 0 0 0 0 0 0.000000
## 459 0 0 0 0 0 0.000000
## 1234 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 1358 0.000000 0.000000 0.0000000 0.000000
## 794 2.079442 4.925069 0.5472299 4.174387
## 1704 0.000000 0.000000 0.0000000 0.000000
## 459 0.000000 0.000000 0.0000000 0.000000
## 1234 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 1358 0.000000 0 0 0 0
## 794 4.007333 0 0 0 0
## 1704 0.000000 0 0 0 0
## 459 0.000000 0 0 0 0
## 1234 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 1358 0 0 0 0 0.000000
## 794 0 0 0 0 1.098612
## 1704 0 0 0 0 0.000000
## 459 0 0 0 0 0.000000
## 1234 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 1358 0 0 0 0.0000000
## 794 0 0 0 0.6931472
## 1704 0 0 0 0.0000000
## 459 0 0 0 0.0000000
## 1234 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 1358 0.000000 1.0 0 0 0
## 794 1.098612 0.3 0 0 0
## 1704 0.000000 1.0 0 0 0
## 459 0.000000 1.0 0 0 0
## 1234 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 1358 0 Unknown Unknown#0 1
## 794 0 iPadAir iPadAir#1 1
## 1704 0 Unknown Unknown#0 1
## 459 0 iPadmini 2+ iPadmini 2+#0 1
## 1234 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## .clusterid.fctr startprice.predict.All.Interact.X.glmnet
## 1358 1 233.6314
## 794 1 192.0747
## 1704 1 245.8868
## 459 1 250.7255
## 1234 1 263.4710
## 1299 1 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 794 332.9253
## 1704 344.1132
## 459 249.7355
## 1234 262.4810
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.6581
## 794 198.9953 326.0047
## 1704 241.5433 348.4567
## 459 234.9612 233.9712
## 1234 285.9075 284.9175
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 794 318.9829
## 1704 400.9275
## 459 140.6210
## 1234 160.2606
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.2840
## 794 206.0171
## 1704 189.0725
## 459 139.6310
## 1234 159.2706
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 794 125.7944
## 1704 224.5690
## 459 141.5008
## 1234 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.4310
## 794 399.2056
## 1704 365.4310
## 459 140.5108
## 1234 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 794 337.6408
## 1704 401.5837
## 459 132.0807
## 1234 142.8787
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.9979
## 794 187.3592
## 1704 188.4163
## 459 131.0907
## 1234 141.8887
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.0374
## 794 280.5446 244.4554
## 1704 240.2116 349.7884
## 459 238.4690 237.4790
## 1234 288.5288 287.5388
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 794 290.3568
## 1704 243.4112
## 459 237.1320
## 1234 292.2736
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.1528 259.1831
## 794 234.6432 293.5478
## 1704 346.5888 243.0785
## 459 236.1420 237.8143
## 1234 291.2836 292.6160
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.8169 259.1831
## 794 231.4522 293.5478
## 1704 346.9215 243.0785
## 459 236.8243 237.8143
## 1234 291.6260 292.6160
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.8169 198.8825
## 794 231.4522 142.7082
## 1704 346.9215 198.8825
## 459 236.8243 170.3522
## 1234 291.6260 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.1175
## 794 382.2918
## 1704 391.1175
## 459 169.3622
## 1234 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 794 155.0292
## 1704 202.5649
## 459 168.4272
## 1234 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.4351
## 794 369.9708
## 1704 387.4351
## 459 167.4372
## 1234 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 794 244.4212
## 1704 330.3139
## 459 258.9864
## 1234 252.3681
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.7534
## 794 280.5788
## 1704 259.6861
## 459 257.9964
## 1234 251.3781
## 1299 247.8758## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2466 12468
## 1418 11419
## 2427 12429
## 2437 12439
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128 gb ATT factory unlock open box for unlock the ipad
## 1418
## 2427 Light use.
## 2437 Overall very good condition, very minor signs of use.
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2466 0 800.00 New other (see details) 1 AT&T
## 1418 1 700.00 Used Unknown Unknown
## 2427 1 389.00 Used 0 None
## 2437 0 659.49 Used 1 AT&T
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2466 Unknown 128 iPad Air 2 Test <NA> -0.14403644 2468
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2427 Unknown 16 Unknown Test <NA> 1.93450257 2429
## 2437 Space Gray 128 iPad Air 2 Test <NA> -1.03713857 2439
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2466 iPadAir 6.684612
## 1418 Unknown 6.551080
## 2427 Unknown 5.963579
## 2437 iPadAir 6.491467
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128gb ATT factory unlock open box for unlock the ipad
## 1418
## 2427 Light use.
## 2437 Overall very good condition, very minor signs of use.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2466 New other (see details) 1 AT&T Unknown
## 1418 Used Unknown Unknown Unknown
## 2427 Used 0 None Unknown
## 2437 Used 1 AT&T Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2466 128 8 2.197225
## 1418 Unknown 0 0.000000
## 2427 16 2 1.098612
## 2437 128 6 1.945910
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2466 7.141834 8 2.197225
## 1418 0.000000 0 0.000000
## 2427 5.021041 2 1.098612
## 2437 4.717469 6 1.945910
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2466 6.768608 1
## 1418 0.000000 1
## 2427 4.113220 1
## 2437 4.423194 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0.0000000 0 0
## 1396 1.0000000 0.0000000 0.0000000 0 0
## 2466 0.9477409 0.0000000 0.0000000 0 0
## 1418 1.0000000 0.0000000 0.0000000 0 0
## 2427 0.8191967 0.0000000 1.5953536 0 0
## 2437 0.9376202 0.4021144 0.5317845 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0.0000000
## 1396 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2466 0.0000000 0 0 0.7035203 0 0 0.4594223
## 1418 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2427 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2437 0.6255884 0 0 0.0000000 0 0 0.0000000
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0.0000000 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2427 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.7508696 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2466 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2427 0 0 0 0 0 0 0
## 2437 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0.000000 0 0 0 0 0.000000 0.0000000
## 1396 0.000000 0 0 0 0 0.000000 0.0000000
## 2466 0.000000 0 0 0 0 0.000000 0.5916151
## 1418 0.000000 0 0 0 0 0.000000 0.0000000
## 2427 2.517866 0 0 0 0 0.000000 0.0000000
## 2437 0.000000 0 0 0 0 0.851466 0.0000000
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2427 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2427 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2427 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2466 0 0 0 0 2.639057 2.197225
## 1418 0 0 0 0 0.000000 0.000000
## 2427 0 0 0 0 1.098612 1.098612
## 2437 0 0 0 0 2.302585 1.945910
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2466 6.768608 0.5206622 4.174387 3.891820
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2427 4.113220 2.0566099 2.397895 2.197225
## 2437 4.423194 0.4914660 3.988984 3.784190
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2466 1.609438 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2427 0.000000 0 0 0 0.0000000
## 2437 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.0986123 0
## 1396 0 0.0000000 0 0.0000000 0
## 2466 0 0.0000000 0 0.0000000 0
## 1418 0 0.0000000 0 0.0000000 0
## 2427 0 0.0000000 0 0.6931472 0
## 2437 0 0.6931472 0 0.6931472 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.945910
## 1396 0 0.0000000 0.0000000 0.000000
## 2466 0 0.0000000 0.6931472 1.098612
## 1418 0 0.0000000 0.0000000 0.000000
## 2427 0 0.0000000 0.6931472 0.000000
## 2437 0 0.0000000 0.6931472 1.386294
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2466 0.2142857 0 1 0 0
## 1418 1.0000000 0 0 0 0
## 2427 0.3333333 0 0 0 0
## 2437 0.4000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2466 iPadAir iPadAir#1 3 3
## 1418 Unknown Unknown#0 1 1
## 2427 Unknown Unknown#1 2 2
## 2437 iPadAir iPadAir#1 2 2
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 2466 119.73755
## 1418 48.86094
## 2427 120.26984
## 2437 81.76848
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2466 680.2625
## 1418 651.1391
## 2427 268.7302
## 2437 577.7215
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.11988 826.8701
## 1396 197.36002 801.6400
## 2466 329.62729 470.3727
## 1418 68.68414 631.3159
## 2427 35.11330 353.8867
## 2437 304.79384 354.6962
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.16716
## 1396 198.37805
## 2466 297.49502
## 1418 68.68574
## 2427 62.84656
## 2437 302.88097
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 2466 502.5050
## 1418 631.3143
## 2427 326.1534
## 2437 356.6090
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.42286
## 1396 188.93600
## 2466 358.54300
## 1418 59.22906
## 2427 66.33739
## 2437 358.54300
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 2466 441.4570
## 1418 640.7709
## 2427 322.6626
## 2437 300.9470
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 2466 269.80259
## 1418 66.77037
## 2427 70.96963
## 2437 261.25238
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 2466 530.1974
## 1418 633.2296
## 2427 318.0304
## 2437 398.2376
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2271510 821.7628
## 1396 196.5086283 802.4914
## 2466 400.8949517 399.1050
## 1418 55.4959976 644.5040
## 2427 0.8373899 388.1626
## 2437 371.8423089 287.6477
## startprice.predict.All.X.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2466 418.05825
## 1418 55.03804
## 2427 -18.57314
## 2437 371.26140
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.65243
## 1396 802.1061 196.67298
## 2466 381.9417 416.20003
## 1418 644.9620 55.00877
## 2427 407.5731 -32.88344
## 2437 288.2286 367.80615
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.65243
## 1396 802.3270 196.67298
## 2466 383.8000 416.20003
## 1418 644.9912 55.00877
## 2427 421.8834 -32.88344
## 2437 291.6839 367.80615
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.63239
## 1396 802.3270 210.07166
## 2466 383.8000 282.43096
## 1418 644.9912 59.15977
## 2427 421.8834 84.31705
## 2437 291.6839 282.43096
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 2466 517.5690
## 1418 640.8402
## 2427 304.6829
## 2437 377.0590
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.67640
## 1396 214.11095
## 2466 274.62163
## 1418 57.43364
## 2427 37.25658
## 2437 274.62163
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 2466 525.3784
## 1418 642.5664
## 2427 351.7434
## 2437 384.8684
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 2466 105.090731
## 1418 48.184032
## 2427 -261.211673
## 2437 19.374719
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 2466 694.9093
## 1418 651.8160
## 2427 650.2117
## 2437 640.1153## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr startprice.predict.All.Interact.X.glmnet
## 794 1 192.0747
## 935 1 503.8885
## 1299 1 353.6184
## 1523 1 386.5313
## 803 1 542.7451
## 1217 1 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.1199 826.8701
## 1396 197.3600 801.6400
## 1282 369.8038 579.1762
## 1269 439.1748 499.8252
## 982 370.3165 529.6835
## 2423 440.7705 459.2195
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.4229
## 1396 188.9360
## 1282 362.2824
## 1269 415.6467
## 982 415.6467
## 2423 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1282 586.6976
## 1269 523.3533
## 982 484.3533
## 2423 484.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1282 454.4696 494.5104
## 1269 522.7249 416.2751
## 982 462.0728 437.9272
## 2423 526.4861 373.5039
## startprice.predict.All.X.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.6524
## 1396 802.1061 196.6730
## 1282 494.0410 455.3742
## 1269 414.8504 524.4702
## 982 435.3028 465.5386
## 2423 370.0083 529.3477
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.6524
## 1396 802.3270 196.6730
## 1282 493.6058 455.3742
## 1269 414.5298 524.4702
## 982 434.4614 465.5386
## 2423 370.6423 529.3477
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.6324
## 1396 802.3270 210.0717
## 1282 493.6058 310.0750
## 1269 414.5298 376.9729
## 982 434.4614 376.9729
## 2423 370.6423 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr startprice.predict.All.Interact.X.glmnet
## 794 1 192.0747
## 935 1 503.8885
## 1299 1 353.6184
## 1523 1 386.5313
## 803 1 542.7451
## 1217 1 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.1199 826.8701
## 1396 197.3600 801.6400
## 1282 369.8038 579.1762
## 1269 439.1748 499.8252
## 982 370.3165 529.6835
## 2423 440.7705 459.2195
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.4229
## 1396 188.9360
## 1282 362.2824
## 1269 415.6467
## 982 415.6467
## 2423 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1282 586.6976
## 1269 523.3533
## 982 484.3533
## 2423 484.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1282 454.4696 494.5104
## 1269 522.7249 416.2751
## 982 462.0728 437.9272
## 2423 526.4861 373.5039
## startprice.predict.All.X.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.6524
## 1396 802.1061 196.6730
## 1282 494.0410 455.3742
## 1269 414.8504 524.4702
## 982 435.3028 465.5386
## 2423 370.0083 529.3477
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.6524
## 1396 802.3270 196.6730
## 1282 493.6058 455.3742
## 1269 414.5298 524.4702
## 982 434.4614 465.5386
## 2423 370.6423 529.3477
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.6324
## 1396 802.3270 210.0717
## 1282 493.6058 310.0750
## 1269 414.5298 376.9729
## 982 434.4614 376.9729
## 2423 370.6423 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.X.no.rnorm.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr startprice.predict.All.Interact.X.glmnet
## 794 1 192.0747
## 935 1 503.8885
## 1299 1 353.6184
## 1523 1 386.5313
## 803 1 542.7451
## 1217 1 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.1199 826.8701
## 1396 197.3600 801.6400
## 1282 369.8038 579.1762
## 1269 439.1748 499.8252
## 982 370.3165 529.6835
## 2423 440.7705 459.2195
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.4229
## 1396 188.9360
## 1282 362.2824
## 1269 415.6467
## 982 415.6467
## 2423 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1282 586.6976
## 1269 523.3533
## 982 484.3533
## 2423 484.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1282 454.4696 494.5104
## 1269 522.7249 416.2751
## 982 462.0728 437.9272
## 2423 526.4861 373.5039
## startprice.predict.All.X.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.6524
## 1396 802.1061 196.6730
## 1282 494.0410 455.3742
## 1269 414.8504 524.4702
## 982 435.3028 465.5386
## 2423 370.0083 529.3477
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.6524
## 1396 802.3270 196.6730
## 1282 493.6058 455.3742
## 1269 414.5298 524.4702
## 982 434.4614 465.5386
## 2423 370.6423 529.3477
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.6324
## 1396 802.3270 210.0717
## 1282 493.6058 310.0750
## 1269 414.5298 376.9729
## 982 434.4614 376.9729
## 2423 370.6423 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.X.no.rnorm.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## [1] "fitting model: Ensemble.glmnet"
## [1] " indep_vars: startprice.predict.All.Interact.X.glmnet, startprice.predict.All.X.glmnet, startprice.predict.All.X.no.rnorm.rf, startprice.predict.Max.cor.Y.cv.0.cp.0.rpart, startprice.predict.All.Interact.X.no.rnorm.rf, startprice.predict.Low.cor.X.lm, startprice.predict.All.X.bayesglm, startprice.predict.All.X.lm, startprice.predict.All.X.glm, startprice.predict.Max.cor.Y.lm, startprice.predict.Interact.High.cor.Y.lm, startprice.predict.All.Interact.X.bayesglm, startprice.predict.Max.cor.Y.rpart, startprice.predict.All.X.no.rnorm.rpart, startprice.predict.All.Interact.X.no.rnorm.rpart"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.1, lambda = 0.25 on full training set## Warning in myfit_mdl(model_id = model_id, model_method = method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: alpha## Warning in myfit_mdl(model_id = model_id, model_method = method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: lambda
## Length Class Mode
## a0 100 -none- numeric
## beta 1500 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 15 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -2.080348e+00
## startprice.predict.All.Interact.X.glmnet
## -2.302911e-01
## startprice.predict.All.X.glmnet
## -4.062437e-01
## startprice.predict.All.X.no.rnorm.rf
## 6.956630e-01
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## -3.336526e-01
## startprice.predict.All.Interact.X.no.rnorm.rf
## 9.205813e-01
## startprice.predict.Low.cor.X.lm
## 1.562596e-01
## startprice.predict.All.X.bayesglm
## 1.368286e-02
## startprice.predict.Max.cor.Y.lm
## 7.698725e-02
## startprice.predict.Interact.High.cor.Y.lm
## 3.091493e-04
## startprice.predict.All.Interact.X.bayesglm
## 1.154705e-01
## startprice.predict.Max.cor.Y.rpart
## -2.020284e-03
## startprice.predict.All.X.no.rnorm.rpart
## -4.809657e-05
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 5.779441e-03
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -1.931941e+00
## startprice.predict.All.Interact.X.glmnet
## -2.488983e-01
## startprice.predict.All.X.glmnet
## -4.395976e-01
## startprice.predict.All.X.no.rnorm.rf
## 6.803615e-01
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## -3.467062e-01
## startprice.predict.All.Interact.X.no.rnorm.rf
## 9.448606e-01
## startprice.predict.Low.cor.X.lm
## 1.901078e-01
## startprice.predict.All.X.bayesglm
## 8.581810e-03
## startprice.predict.Max.cor.Y.lm
## 9.378727e-02
## startprice.predict.Interact.High.cor.Y.lm
## -8.079598e-05
## startprice.predict.All.Interact.X.bayesglm
## 1.240909e-01
## startprice.predict.Max.cor.Y.rpart
## -2.246740e-02
## startprice.predict.All.X.no.rnorm.rpart
## -1.058805e-03
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 2.836099e-02
## character(0)
## character(0)
## [1] " calling mypredict_mdl for fit:"
## [1] " calling mypredict_mdl for OOB:"
## model_id model_method
## 1 Ensemble.glmnet glmnet
## feats
## 1 startprice.predict.All.Interact.X.glmnet, startprice.predict.All.X.glmnet, startprice.predict.All.X.no.rnorm.rf, startprice.predict.Max.cor.Y.cv.0.cp.0.rpart, startprice.predict.All.Interact.X.no.rnorm.rf, startprice.predict.Low.cor.X.lm, startprice.predict.All.X.bayesglm, startprice.predict.All.X.lm, startprice.predict.All.X.glm, startprice.predict.Max.cor.Y.lm, startprice.predict.Interact.High.cor.Y.lm, startprice.predict.All.Interact.X.bayesglm, startprice.predict.Max.cor.Y.rpart, startprice.predict.All.X.no.rnorm.rpart, startprice.predict.All.Interact.X.no.rnorm.rpart
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 9 1.658 0.007
## max.R.sq.fit min.RMSE.fit max.R.sq.OOB min.RMSE.OOB max.Rsquared.fit
## 1 0.9486925 29.93289 0.5862565 136.9693 0.946081
## min.RMSESD.fit max.RsquaredSD.fit
## 1 2.774525 0.01739616if (is.null(glb_sel_mdl_id))
glb_sel_mdl_id <- dsp_models_df[1, "model_id"] else
print(sprintf("User specified selection: %s", glb_sel_mdl_id)) ## [1] "User specified selection: Ensemble.glmnet"myprint_mdl(glb_sel_mdl <- glb_models_lst[[glb_sel_mdl_id]])
## Length Class Mode
## a0 100 -none- numeric
## beta 1500 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 15 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -2.080348e+00
## startprice.predict.All.Interact.X.glmnet
## -2.302911e-01
## startprice.predict.All.X.glmnet
## -4.062437e-01
## startprice.predict.All.X.no.rnorm.rf
## 6.956630e-01
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## -3.336526e-01
## startprice.predict.All.Interact.X.no.rnorm.rf
## 9.205813e-01
## startprice.predict.Low.cor.X.lm
## 1.562596e-01
## startprice.predict.All.X.bayesglm
## 1.368286e-02
## startprice.predict.Max.cor.Y.lm
## 7.698725e-02
## startprice.predict.Interact.High.cor.Y.lm
## 3.091493e-04
## startprice.predict.All.Interact.X.bayesglm
## 1.154705e-01
## startprice.predict.Max.cor.Y.rpart
## -2.020284e-03
## startprice.predict.All.X.no.rnorm.rpart
## -4.809657e-05
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 5.779441e-03
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -1.931941e+00
## startprice.predict.All.Interact.X.glmnet
## -2.488983e-01
## startprice.predict.All.X.glmnet
## -4.395976e-01
## startprice.predict.All.X.no.rnorm.rf
## 6.803615e-01
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## -3.467062e-01
## startprice.predict.All.Interact.X.no.rnorm.rf
## 9.448606e-01
## startprice.predict.Low.cor.X.lm
## 1.901078e-01
## startprice.predict.All.X.bayesglm
## 8.581810e-03
## startprice.predict.Max.cor.Y.lm
## 9.378727e-02
## startprice.predict.Interact.High.cor.Y.lm
## -8.079598e-05
## startprice.predict.All.Interact.X.bayesglm
## 1.240909e-01
## startprice.predict.Max.cor.Y.rpart
## -2.246740e-02
## startprice.predict.All.X.no.rnorm.rpart
## -1.058805e-03
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 2.836099e-02
## character(0)
## character(0)## [1] TRUE# From here to save(), this should all be in one function
# these are executed in the same seq twice more:
# fit.data.training & predict.data.new chunks
glb_OOBobs_df <- glb_get_predictions(df=glb_OOBobs_df, mdl_id=glb_sel_mdl_id,
rsp_var_out=glb_rsp_var_out)## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 2507 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 2507 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 2507 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## 2507 164.20329
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## 2507 565.7867
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.1199 826.8701
## 1396 197.3600 801.6400
## 1492 249.8774 480.1126
## 2501 304.2359 575.7541
## 1487 245.4668 484.5232
## 2507 221.4298 508.5602
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.1672
## 1396 198.3780
## 1492 136.4294
## 2501 241.7478
## 1487 147.0573
## 2507 140.4967
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## 2507 589.4933
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.4229
## 1396 188.9360
## 1492 141.5008
## 2501 221.8944
## 1487 141.5008
## 2507 141.5008
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1492 588.4892
## 2501 658.0956
## 1487 588.4892
## 2507 588.4892
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## 2507 102.22980
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## 2507 627.7602
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1492 324.8121 405.1779
## 2501 372.1603 507.8297
## 1487 320.9099 409.0801
## 2507 285.8527 444.1373
## startprice.predict.All.X.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1492 324.9076
## 2501 373.7412
## 1487 321.3292
## 2507 284.8738
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.6524
## 1396 802.1061 196.6730
## 1492 405.0824 325.1984
## 2501 506.2488 372.9724
## 1487 408.6608 321.2408
## 2507 445.1162 284.6141
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.6524
## 1396 802.3270 196.6730
## 1492 404.7916 325.1984
## 2501 507.0176 372.9724
## 1487 408.7492 321.2408
## 2507 445.3759 284.6141
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.6324
## 1396 802.3270 210.0717
## 1492 404.7916 170.3522
## 2501 507.0176 237.2502
## 1487 408.7492 170.3522
## 2507 445.3759 170.3522
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 1492 559.6378
## 2501 642.7398
## 1487 559.6378
## 2507 559.6378
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.6764
## 1396 214.1109
## 1492 168.4272
## 2501 235.7130
## 1487 168.4272
## 2507 168.4272
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 1492 561.5628
## 2501 644.2770
## 1487 561.5628
## 2507 561.5628
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1492 226.104427
## 2501 458.782085
## 1487 238.615196
## 2507 144.862701
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1492 503.8856
## 2501 421.2079
## 1487 491.3748
## 2507 585.1273
## startprice.predict.Max.cor.Y.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.Max.cor.Y.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.X.no.rnorm.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.All.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 74.98766
## 2501 224.47493
## 1487 74.98766
## 2507 74.98766
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 655.0023
## 2501 655.5151
## 1487 655.0023
## 2507 655.0023
## startprice.predict.Ensemble.glmnet
## 2623 113.90849
## 1396 203.59788
## 1492 63.25472
## 2501 220.03761
## 1487 86.44429
## 2507 93.58298
## startprice.predict.Ensemble.glmnet.err
## 2623 886.0815
## 1396 795.4021
## 1492 666.7353
## 2501 659.9524
## 1487 643.5457
## 2507 636.4070predct_accurate_var_name <- paste0(glb_rsp_var_out, glb_sel_mdl_id, ".accurate")
predct_error_var_name <- paste0(glb_rsp_var_out, glb_sel_mdl_id, ".err")
glb_OOBobs_df[, predct_accurate_var_name] <-
(glb_OOBobs_df[, glb_rsp_var] ==
glb_OOBobs_df[, paste0(glb_rsp_var_out, glb_sel_mdl_id)])
glb_featsimp_df <-
myget_feats_importance(mdl=glb_sel_mdl, featsimp_df=NULL)
glb_featsimp_df[, paste0(glb_sel_mdl_id, ".importance")] <- glb_featsimp_df$importance
print(glb_featsimp_df)## importance
## startprice.predict.All.Interact.X.no.rnorm.rf 100.000000
## startprice.predict.All.X.no.rnorm.rf 82.877850
## startprice.predict.Low.cor.X.lm 42.664383
## startprice.predict.All.Interact.X.bayesglm 39.446441
## startprice.predict.Max.cor.Y.lm 36.631963
## startprice.predict.All.X.bayesglm 31.728064
## startprice.predict.All.Interact.X.no.rnorm.rpart 31.242314
## startprice.predict.Interact.High.cor.Y.lm 30.732133
## startprice.predict.All.X.lm 30.721941
## startprice.predict.All.X.glm 30.721941
## startprice.predict.All.X.no.rnorm.rpart 30.715802
## startprice.predict.Max.cor.Y.rpart 30.490635
## startprice.predict.All.Interact.X.glmnet 13.298938
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart 5.581228
## startprice.predict.All.X.glmnet 0.000000
## Ensemble.glmnet.importance
## startprice.predict.All.Interact.X.no.rnorm.rf 100.000000
## startprice.predict.All.X.no.rnorm.rf 82.877850
## startprice.predict.Low.cor.X.lm 42.664383
## startprice.predict.All.Interact.X.bayesglm 39.446441
## startprice.predict.Max.cor.Y.lm 36.631963
## startprice.predict.All.X.bayesglm 31.728064
## startprice.predict.All.Interact.X.no.rnorm.rpart 31.242314
## startprice.predict.Interact.High.cor.Y.lm 30.732133
## startprice.predict.All.X.lm 30.721941
## startprice.predict.All.X.glm 30.721941
## startprice.predict.All.X.no.rnorm.rpart 30.715802
## startprice.predict.Max.cor.Y.rpart 30.490635
## startprice.predict.All.Interact.X.glmnet 13.298938
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart 5.581228
## startprice.predict.All.X.glmnet 0.000000# Used again in fit.data.training & predict.data.new chunks
glb_analytics_diag_plots <- function(obs_df, mdl_id, prob_threshold=NULL) {
featsimp_df <- glb_featsimp_df
featsimp_df$feat <- gsub("`(.*?)`", "\\1", row.names(featsimp_df))
featsimp_df$feat.interact <- gsub("(.*?):(.*)", "\\2", featsimp_df$feat)
featsimp_df$feat <- gsub("(.*?):(.*)", "\\1", featsimp_df$feat)
featsimp_df$feat.interact <- ifelse(featsimp_df$feat.interact == featsimp_df$feat,
NA, featsimp_df$feat.interact)
featsimp_df$feat <- gsub("(.*?)\\.fctr(.*)", "\\1\\.fctr", featsimp_df$feat)
featsimp_df$feat.interact <- gsub("(.*?)\\.fctr(.*)", "\\1\\.fctr", featsimp_df$feat.interact)
featsimp_df <- orderBy(~ -importance.max, summaryBy(importance ~ feat + feat.interact,
data=featsimp_df, FUN=max))
#rex_str=":(.*)"; txt_vctr=tail(featsimp_df$feat); ret_lst <- regexec(rex_str, txt_vctr); ret_lst <- regmatches(txt_vctr, ret_lst); ret_vctr <- sapply(1:length(ret_lst), function(pos_ix) ifelse(length(ret_lst[[pos_ix]]) > 0, ret_lst[[pos_ix]], "")); print(ret_vctr <- ret_vctr[ret_vctr != ""])
if (nrow(featsimp_df) > 5) {
warning("Limiting important feature scatter plots to 5 out of ", nrow(featsimp_df))
featsimp_df <- head(featsimp_df, 5)
}
# if (!all(is.na(featsimp_df$feat.interact)))
# stop("not implemented yet")
rsp_var_out <- paste0(glb_rsp_var_out, mdl_id)
for (var in featsimp_df$feat) {
plot_df <- melt(obs_df, id.vars=var,
measure.vars=c(glb_rsp_var, rsp_var_out))
# if (var == "<feat_name>") print(myplot_scatter(plot_df, var, "value",
# facet_colcol_name="variable") +
# geom_vline(xintercept=<divider_val>, linetype="dotted")) else
print(myplot_scatter(plot_df, var, "value", colorcol_name="variable",
facet_colcol_name="variable", jitter=TRUE) +
guides(color=FALSE))
}
if (glb_is_regression) {
if (nrow(featsimp_df) == 0)
warning("No important features in glb_fin_mdl") else
print(myplot_prediction_regression(df=obs_df,
feat_x=ifelse(nrow(featsimp_df) > 1, featsimp_df$feat[2],
".rownames"),
feat_y=featsimp_df$feat[1],
rsp_var=glb_rsp_var, rsp_var_out=rsp_var_out,
id_vars=glb_id_var)
# + facet_wrap(reformulate(featsimp_df$feat[2])) # if [1 or 2] is a factor
# + geom_point(aes_string(color="<col_name>.fctr")) # to color the plot
)
}
if (glb_is_classification) {
if (nrow(featsimp_df) == 0)
warning("No features in selected model are statistically important")
else print(myplot_prediction_classification(df=obs_df,
feat_x=ifelse(nrow(featsimp_df) > 1, featsimp_df$feat[2],
".rownames"),
feat_y=featsimp_df$feat[1],
rsp_var=glb_rsp_var,
rsp_var_out=rsp_var_out,
id_vars=glb_id_var,
prob_threshold=prob_threshold)
# + geom_hline(yintercept=<divider_val>, linetype = "dotted")
)
}
}
if (glb_is_classification && glb_is_binomial)
glb_analytics_diag_plots(obs_df=glb_OOBobs_df, mdl_id=glb_sel_mdl_id,
prob_threshold=glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"]) else
glb_analytics_diag_plots(obs_df=glb_OOBobs_df, mdl_id=glb_sel_mdl_id) ## Warning in glb_analytics_diag_plots(obs_df = glb_OOBobs_df, mdl_id =
## glb_sel_mdl_id): Limiting important feature scatter plots to 5 out of 15
## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## startprice.predict.All.Interact.X.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 2623 173.1199 826.8701
## 1396 197.3600 801.6400
## 1492 249.8774 480.1126
## 2501 304.2359 575.7541
## 1487 245.4668 484.5232
## startprice.predict.All.X.no.rnorm.rf
## 2623 138.1672
## 1396 198.3780
## 1492 136.4294
## 2501 241.7478
## 1487 147.0573
## startprice.predict.All.X.no.rnorm.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 2623 188.4229
## 1396 188.9360
## 1492 141.5008
## 2501 221.8944
## 1487 141.5008
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 2623 811.5671
## 1396 810.0640
## 1492 588.4892
## 2501 658.0956
## 1487 588.4892
## startprice.predict.All.Interact.X.no.rnorm.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 2623 178.2272 821.7628
## 1396 196.5086 802.4914
## 1492 324.8121 405.1779
## 2501 372.1603 507.8297
## 1487 320.9099 409.0801
## startprice.predict.All.X.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1492 324.9076
## 2501 373.7412
## 1487 321.3292
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 2623 819.7202 194.6524
## 1396 802.1061 196.6730
## 1492 405.0824 325.1984
## 2501 506.2488 372.9724
## 1487 408.6608 321.2408
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 2623 805.3376 194.6524
## 1396 802.3270 196.6730
## 1492 404.7916 325.1984
## 2501 507.0176 372.9724
## 1487 408.7492 321.2408
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 2623 805.3376 191.6324
## 1396 802.3270 210.0717
## 1492 404.7916 170.3522
## 2501 507.0176 237.2502
## 1487 408.7492 170.3522
## startprice.predict.Max.cor.Y.lm.err
## 2623 808.3576
## 1396 788.9283
## 1492 559.6378
## 2501 642.7398
## 1487 559.6378
## startprice.predict.Interact.High.cor.Y.lm
## 2623 182.6764
## 1396 214.1109
## 1492 168.4272
## 2501 235.7130
## 1487 168.4272
## startprice.predict.Interact.High.cor.Y.lm.err
## 2623 817.3136
## 1396 784.8891
## 1492 561.5628
## 2501 644.2770
## 1487 561.5628
## startprice.predict.All.Interact.X.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1492 226.104427
## 2501 458.782085
## 1487 238.615196
## startprice.predict.All.Interact.X.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1492 503.8856
## 2501 421.2079
## 1487 491.3748
## startprice.predict.Max.cor.Y.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## startprice.predict.Max.cor.Y.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## startprice.predict.All.X.no.rnorm.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## startprice.predict.All.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 74.98766
## 2501 224.47493
## 1487 74.98766
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 655.0023
## 2501 655.5151
## 1487 655.0023
## startprice.predict.Ensemble.glmnet
## 2623 113.90849
## 1396 203.59788
## 1492 63.25472
## 2501 220.03761
## 1487 86.44429
## startprice.predict.Ensemble.glmnet.err
## 2623 886.0815
## 1396 795.4021
## 1492 666.7353
## 2501 659.9524
## 1487 643.5457
## startprice.predict.Ensemble.glmnet.accurate .label
## 2623 FALSE 12625
## 1396 FALSE 11397
## 1492 FALSE 11493
## 2501 FALSE 12503
## 1487 FALSE 11488
write.csv(glb_OOBobs_df[, c(glb_id_var,
grep(glb_rsp_var, names(glb_OOBobs_df), fixed=TRUE, value=TRUE))],
paste0(gsub(".", "_", paste0(glb_out_pfx, glb_sel_mdl_id), fixed=TRUE),
"_OOBobs.csv"), row.names=FALSE)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.models", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 12 fit.models 7 2 564.230 608.707 44.477
## 13 fit.models 7 3 608.708 NA NA# if (sum(is.na(glb_allobs_df$D.P.http)) > 0)
# stop("fit.models_3: Why is this happening ?")
#stop(here"); glb_to_sav()
sync_glb_obs_df <- function() {
# Merge or cbind ?
for (col in setdiff(names(glb_fitobs_df), names(glb_trnobs_df)))
glb_trnobs_df[glb_trnobs_df$.lcn == "Fit", col] <<- glb_fitobs_df[, col]
for (col in setdiff(names(glb_fitobs_df), names(glb_allobs_df)))
glb_allobs_df[glb_allobs_df$.lcn == "Fit", col] <<- glb_fitobs_df[, col]
if (all(is.na(glb_newobs_df[, glb_rsp_var])))
for (col in setdiff(names(glb_OOBobs_df), names(glb_trnobs_df)))
glb_trnobs_df[glb_trnobs_df$.lcn == "OOB", col] <<- glb_OOBobs_df[, col]
for (col in setdiff(names(glb_OOBobs_df), names(glb_allobs_df)))
glb_allobs_df[glb_allobs_df$.lcn == "OOB", col] <<- glb_OOBobs_df[, col]
}
sync_glb_obs_df()
print(setdiff(names(glb_newobs_df), names(glb_allobs_df)))## character(0)if (glb_save_envir)
save(glb_feats_df,
glb_allobs_df, #glb_trnobs_df, glb_fitobs_df, glb_OOBobs_df, glb_newobs_df,
glb_models_df, dsp_models_df, glb_models_lst, glb_sel_mdl, glb_sel_mdl_id,
glb_model_type,
file=paste0(glb_out_pfx, "selmdl_dsk.RData"))
#load(paste0(glb_out_pfx, "selmdl_dsk.RData"))
rm(ret_lst)
replay.petrisim(pn=glb_analytics_pn,
replay.trans=(glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
"model.selected")), flip_coord=TRUE)## time trans "bgn " "fit.data.training.all " "predict.data.new " "end "
## 0.0000 multiple enabled transitions: data.training.all data.new model.selected firing: data.training.all
## 1.0000 1 2 1 0 0
## 1.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction firing: data.new
## 2.0000 2 1 1 1 0
## 2.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction data.new.prediction firing: model.selected
## 3.0000 3 0 2 1 0
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.data.training", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 13 fit.models 7 3 608.708 622.376 13.669
## 14 fit.data.training 8 0 622.377 NA NAStep 8.0: fit data training
#load(paste0(glb_inp_pfx, "dsk.RData"))
if (!is.null(glb_fin_mdl_id) && (glb_fin_mdl_id %in% names(glb_models_lst))) {
warning("Final model same as user selected model")
glb_fin_mdl <- glb_sel_mdl
} else {
#stop(here"); glb_to_sav()
if (grepl("Ensemble", glb_sel_mdl_id)) {
# Find which models are relevant
mdlimp_df <- subset(varImp(glb_sel_mdl)$importance, Overall > 5)
# Fit selected models on glb_trnobs_df
for (mdl_id in gsub(".prob", "",
gsub(glb_rsp_var_out, "", row.names(mdlimp_df), fixed=TRUE),
fixed=TRUE)) {
mdl_id_components <- unlist(strsplit(mdl_id, "[.]"))
ret_lst <-
myfit_mdl(model_id=paste0(c(head(mdl_id_components, -1), "Train"),
collapse="."),
model_method=tail(mdl_id_components, 1),
indep_vars_vctr=trim(unlist(strsplit(
glb_models_df[glb_models_df$model_id == mdl_id, "feats"], "[,]"))),
model_type=glb_model_type,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_trnobs_df, OOB_df=NULL,
n_cv_folds=glb_n_cv_folds, tune_models_df=glb_tune_models_df)
glb_trnobs_df <- glb_get_predictions(df=glb_trnobs_df,
mdl_id=tail(glb_models_df$model_id, 1),
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=subset(glb_models_df,
model_id == mdl_id)$opt.prob.threshold.OOB)
glb_newobs_df <- glb_get_predictions(df=glb_newobs_df,
mdl_id=tail(glb_models_df$model_id, 1),
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=subset(glb_models_df,
model_id == mdl_id)$opt.prob.threshold.OOB)
}
}
# "Final" model
if ((model_method <- glb_sel_mdl$method) == "custom")
# get actual method from the model_id
model_method <- tail(unlist(strsplit(glb_sel_mdl_id, "[.]")), 1)
if (grepl("Ensemble", glb_sel_mdl_id)) {
# Find which models are relevant
mdlimp_df <- subset(varImp(glb_sel_mdl)$importance, Overall > 5)
if (glb_is_classification && glb_is_binomial)
indep_vars_vctr <- gsub("(.*)\\.(.*)\\.prob", "\\1\\.Train\\.\\2\\.prob",
row.names(mdlimp_df)) else
indep_vars_vctr <- gsub("(.*)\\.(.*)", "\\1\\.Train\\.\\2",
row.names(mdlimp_df))
} else indep_vars_vctr <-
trim(unlist(strsplit(glb_models_df[glb_models_df$model_id == glb_sel_mdl_id
, "feats"], "[,]")))
# Discontinuing use of tune_finmdl_df;
# since final model needs to be cved on glb_trnobs_df
tune_finmdl_df <- NULL
if (nrow(glb_sel_mdl$bestTune) > 0) {
for (param in names(glb_sel_mdl$bestTune)) {
#print(sprintf("param: %s", param))
if (glb_sel_mdl$bestTune[1, param] != "none")
tune_finmdl_df <- rbind(tune_finmdl_df,
data.frame(parameter=param,
min=glb_sel_mdl$bestTune[1, param],
max=glb_sel_mdl$bestTune[1, param],
by=1)) # by val does not matter
}
}
# Sync with parameters in mydsutils.R
require(gdata)
ret_lst <- myfit_mdl(model_id="Final", model_method=model_method,
indep_vars_vctr=indep_vars_vctr,
model_type=glb_model_type,
rsp_var=glb_rsp_var, rsp_var_out=glb_rsp_var_out,
fit_df=glb_trnobs_df, OOB_df=NULL,
n_cv_folds=glb_n_cv_folds,
tune_models_df=glb_tune_models_df, #tune_finmdl_df,
# Automate from here
# Issues if glb_sel_mdl$method == "rf" b/c trainControl is "oob"; not "cv"
model_loss_mtrx=glb_model_metric_terms,
model_summaryFunction=glb_sel_mdl$control$summaryFunction,
model_metric=glb_sel_mdl$metric,
model_metric_maximize=glb_sel_mdl$maximize)
glb_fin_mdl <- glb_models_lst[[length(glb_models_lst)]]
glb_fin_mdl_id <- glb_models_df[length(glb_models_lst), "model_id"]
}## [1] "fitting model: All.Interact.X.Train.glmnet"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.55, lambda = 1.26 on full training set
## Length Class Mode
## a0 100 -none- numeric
## beta 46100 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 461 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## 1.295183e+02
## prdl.my.descr.fctriPad 1#0
## -4.517697e+01
## prdl.my.descr.fctriPad 1#1
## -4.734907e+01
## prdl.my.descr.fctriPad 2#0
## -7.879976e+00
## prdl.my.descr.fctriPad 3+#0
## 2.035564e+00
## prdl.my.descr.fctriPadAir#0
## 1.209263e+02
## prdl.my.descr.fctriPadAir#1
## 6.917911e+00
## prdl.my.descr.fctriPadmini 2+#0
## 8.255199e+01
## .rnorm
## 2.307829e+00
## D.npnct14.log
## -6.729724e+00
## D.ndgts.log
## -3.419795e+00
## D.npnct05.log
## -7.103422e+01
## D.npnct15.log
## -1.635166e+01
## D.npnct11.log
## -9.462001e+00
## D.npnct13.log
## -3.493149e+00
## D.ratio.sum.TfIdf.nwrds
## -1.671177e+01
## D.TfIdf.sum.stem.stop.Ratio
## 1.038276e+02
## biddable
## -1.166699e+02
## condition.fctrFor parts or not working
## -3.715798e+01
## condition.fctrNew
## 6.366320e+01
## condition.fctrNew other (see details)
## 2.465697e+01
## condition.fctrSeller refurbished
## -1.774520e+01
## color.fctrGold
## 5.772976e+00
## color.fctrSpace Gray
## 2.283839e+01
## color.fctrUnknown
## -1.396545e+01
## color.fctrWhite
## 9.860912e+00
## storage.fctr16
## -2.872790e+01
## storage.fctr32
## -1.395339e+01
## storage.fctrUnknown
## -2.302288e+01
## idseq.my
## -8.886761e-03
## cellular.fctr1
## 3.181267e+00
## cellular.fctrUnknown
## -9.213876e+00
## carrier.fctrOther
## 3.608943e+00
## carrier.fctrSprint
## -2.606053e+01
## carrier.fctrT-Mobile
## 7.259600e+00
## carrier.fctrVerizon
## 1.956275e+00
## prdl.my.descr.fctriPadAir#1:D.nchrs.log
## 1.430996e+00
## prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio
## -3.478542e+01
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## -7.357623e+00
## prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio
## -6.777464e+00
## prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio
## 3.081270e+00
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 1.041343e+02
## prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio
## 3.747827e+01
## prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio
## 6.372012e+01
## prdl.my.descr.fctrUnknown#1:D.npnct16.log
## 2.331747e+01
## prdl.my.descr.fctriPad 1#1:D.npnct16.log
## 5.471457e+01
## prdl.my.descr.fctriPad 2#1:D.npnct16.log
## 5.428857e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct16.log
## -1.691042e+01
## prdl.my.descr.fctriPadAir#1:D.npnct16.log
## 5.705816e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log
## -9.829924e+01
## prdl.my.descr.fctriPadmini#1:D.npnct16.log
## -6.416854e+00
## prdl.my.descr.fctrUnknown#1:D.npnct01.log
## 1.302426e+01
## prdl.my.descr.fctriPad 2#1:D.npnct01.log
## 5.127178e+01
## prdl.my.descr.fctriPadAir#1:D.npnct01.log
## 7.725400e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log
## 1.946234e+02
## prdl.my.descr.fctriPadmini#1:D.npnct01.log
## -5.860227e+00
## prdl.my.descr.fctrUnknown#1:D.nstopwrds.log
## 1.562981e+01
## prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log
## 4.284086e+00
## prdl.my.descr.fctriPadAir#1:D.nstopwrds.log
## 8.957784e+00
## prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log
## 2.068208e+01
## prdl.my.descr.fctriPad 2#1:D.npnct08.log
## -1.087708e+01
## prdl.my.descr.fctriPadAir#1:D.npnct08.log
## 7.662983e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log
## -8.620326e+01
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop
## 2.029983e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop
## -3.231783e-01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop
## 4.557791e+00
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem
## 1.672705e+00
## prdl.my.descr.fctriPad 1#0:biddable
## 3.123028e+01
## prdl.my.descr.fctriPad 1#1:biddable
## 1.400809e+01
## prdl.my.descr.fctriPadAir#0:biddable
## -6.610986e+01
## prdl.my.descr.fctriPadmini 2+#0:biddable
## -7.113944e+01
## prdl.my.descr.fctriPadmini 2+#1:biddable
## 4.591002e-01
## prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working
## -1.041265e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working
## 1.445897e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working
## 1.129783e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working
## -1.772379e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working
## -1.924708e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working
## -7.137717e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working
## -1.437888e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working
## -4.620547e+00
## prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working
## -9.217857e+00
## prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished
## -2.951780e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished
## -2.626150e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished
## -1.976193e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished
## -2.894233e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished
## 2.419474e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished
## -1.251986e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished
## 3.940159e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished
## 7.947343e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew
## 5.146906e+00
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew
## 7.687317e+00
## prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)
## 3.093558e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)
## -4.504981e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)
## -7.193726e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)
## 3.938296e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)
## 6.731798e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)
## 1.196309e+02
## prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished
## -6.468506e+00
## prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished
## 2.321502e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished
## -2.467402e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished
## -1.301666e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished
## -2.431292e-01
## prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished
## 1.940564e+02
## prdl.my.descr.fctriPadAir#1:color.fctrGold
## 9.070891e+01
## prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray
## 2.649701e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray
## 8.227978e+01
## prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray
## 6.275740e+01
## prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray
## -5.428358e+01
## prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray
## -2.101553e+01
## prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray
## -2.041579e+01
## prdl.my.descr.fctrUnknown#1:color.fctrUnknown
## 5.900624e+01
## prdl.my.descr.fctriPad 2#0:color.fctrUnknown
## -1.884197e+01
## prdl.my.descr.fctriPad 2#1:color.fctrUnknown
## -1.467393e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrUnknown
## -6.322391e+00
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 1.048553e+02
## prdl.my.descr.fctriPadAir#1:color.fctrUnknown
## -3.123221e+01
## prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown
## 8.812038e+00
## prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown
## 1.313345e+00
## prdl.my.descr.fctriPadmini#0:color.fctrUnknown
## 1.010172e+01
## prdl.my.descr.fctrUnknown#1:color.fctrWhite
## -2.791780e+01
## prdl.my.descr.fctriPad 1#0:color.fctrWhite
## -2.045361e+00
## prdl.my.descr.fctriPad 1#1:color.fctrWhite
## -2.517358e+01
## prdl.my.descr.fctriPad 2#0:color.fctrWhite
## -7.489887e+00
## prdl.my.descr.fctriPadAir#0:color.fctrWhite
## 6.877627e+01
## prdl.my.descr.fctriPadAir#1:color.fctrWhite
## 3.513801e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite
## 1.188127e+02
## prdl.my.descr.fctriPadmini#0:color.fctrWhite
## 1.481534e+00
## prdl.my.descr.fctriPadmini#1:color.fctrWhite
## -2.850269e+00
## prdl.my.descr.fctrUnknown#1:storage.fctr16
## 5.531147e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr16
## -2.143889e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr16
## 1.188160e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## -1.594457e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr16
## 6.503959e+00
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr16
## -5.028690e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr16
## -6.081613e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr16
## -1.521127e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr32
## -7.800577e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr32
## -2.089508e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr32
## 1.438759e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr32
## 2.244142e+00
## prdl.my.descr.fctriPadAir#0:storage.fctr32
## -1.652039e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr32
## -1.635201e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr32
## 4.591373e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr32
## -3.561669e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr64
## -1.061841e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr64
## -1.453424e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr64
## -1.880544e+00
## prdl.my.descr.fctriPad 2#0:storage.fctr64
## -3.899983e+00
## prdl.my.descr.fctriPad 2#1:storage.fctr64
## -6.984137e+00
## prdl.my.descr.fctriPad 3+#0:storage.fctr64
## 2.075975e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr64
## 3.215831e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr64
## -1.068792e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr64
## 1.500893e+02
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr64
## 2.576686e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr64
## -3.522697e+00
## prdl.my.descr.fctriPad 1#1:storage.fctrUnknown
## 1.416518e+02
## prdl.my.descr.fctriPad 2#0:storage.fctrUnknown
## -2.834201e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown
## 1.047813e+02
## prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown
## -2.653851e+01
## prdl.my.descr.fctriPadAir#1:storage.fctrUnknown
## -7.082972e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown
## 9.712222e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown
## 1.816146e+02
## prdl.my.descr.fctriPad 1#0:idseq.my
## -2.023126e-03
## prdl.my.descr.fctriPad 2#1:idseq.my
## 4.899222e-03
## prdl.my.descr.fctriPadAir#1:idseq.my
## -6.529937e-02
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## -3.235732e-02
## cellular.fctr1:carrier.fctrOther
## 2.504346e+00
## cellular.fctr1:carrier.fctrSprint
## -1.856590e+01
## cellular.fctr1:carrier.fctrT-Mobile
## 6.586499e+00
## cellular.fctr1:carrier.fctrUnknown
## 7.191926e+00
## cellular.fctrUnknown:carrier.fctrUnknown
## -9.811334e+00
## cellular.fctr1:carrier.fctrVerizon
## 2.026409e+00
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -2.899758e+00
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr2
## -1.109467e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2
## 1.019481e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr2
## 5.601787e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -2.389580e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 1.532314e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr3
## -2.413074e+00
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -1.169933e+02
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr4
## -2.957259e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -5.746798e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -2.160152e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr4
## 2.759626e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -2.416095e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 3.266209e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## -1.277136e+00
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr6
## 1.332702e+01
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## 2.987807e+02
## prdl.my.descr.fctriPad 1#0
## -1.251763e+01
## prdl.my.descr.fctriPad 1#1
## -2.113858e+02
## prdl.my.descr.fctriPad 2#0
## 9.022197e+00
## prdl.my.descr.fctriPad 3+#0
## 2.351562e+01
## prdl.my.descr.fctriPad 3+#1
## -8.225212e+01
## prdl.my.descr.fctriPadAir#0
## 1.595970e+02
## prdl.my.descr.fctriPadAir#1
## 2.743225e+02
## prdl.my.descr.fctriPadmini 2+#0
## 1.820254e+02
## prdl.my.descr.fctriPadmini 2+#1
## -1.876398e+02
## prdl.my.descr.fctriPadmini#0
## 1.099419e-03
## D.ratio.nstopwrds.nwrds
## -2.183489e+02
## .rnorm
## 3.458789e+00
## D.npnct14.log
## -3.560529e+01
## D.terms.n.stem.stop.Ratio
## -2.038866e+01
## D.ndgts.log
## -2.883992e+01
## D.npnct05.log
## -5.704121e+01
## D.npnct15.log
## -5.852603e+01
## D.npnct12.log
## 8.252415e+00
## D.npnct06.log
## -5.086049e+01
## D.npnct03.log
## 3.665672e+01
## D.npnct11.log
## -2.519520e+01
## D.npnct13.log
## -1.427490e+01
## D.nwrds.log
## 8.174569e+01
## D.terms.n.post.stop.log
## 5.148923e-01
## D.nuppr.log
## -3.054724e+01
## D.TfIdf.sum.post.stem
## -1.990092e-02
## D.sum.TfIdf
## -1.160039e-04
## D.npnct24.log
## -9.761356e+00
## D.TfIdf.sum.post.stop
## -3.152876e+00
## D.ratio.sum.TfIdf.nwrds
## -9.604884e+00
## D.nchrs.log
## -1.502491e+00
## D.TfIdf.sum.stem.stop.Ratio
## 1.384640e+02
## D.npnct16.log
## 1.200783e+01
## D.nstopwrds.log
## 1.104847e+01
## D.terms.n.post.stop
## -3.136938e+00
## biddable
## -1.309909e+02
## condition.fctrFor parts or not working
## -7.076825e+01
## condition.fctrManufacturer refurbished
## 9.402474e+01
## condition.fctrNew
## 5.225209e+01
## condition.fctrNew other (see details)
## 4.760662e+00
## condition.fctrSeller refurbished
## 2.310547e+01
## color.fctrSpace Gray
## 7.588404e+01
## color.fctrUnknown
## -1.324753e+01
## color.fctrWhite
## 7.092338e+01
## storage.fctr16
## -5.820437e+01
## storage.fctr32
## -4.811827e+01
## storage.fctr64
## 8.702479e+00
## storage.fctrUnknown
## -6.232843e+01
## idseq.my
## 4.926916e-02
## cellular.fctr1
## 4.810736e+00
## carrier.fctrOther
## 2.391477e+01
## carrier.fctrSprint
## -5.656286e+01
## carrier.fctrT-Mobile
## 1.580119e+01
## carrier.fctrVerizon
## 2.555684e+00
## prdl.my.descr.fctriPad 1#1:D.nchrs.log
## 1.478877e+01
## prdl.my.descr.fctriPad 2#1:D.nchrs.log
## -4.081794e+01
## prdl.my.descr.fctriPad 3+#1:D.nchrs.log
## 8.137168e+00
## prdl.my.descr.fctriPadAir#1:D.nchrs.log
## -3.088118e+01
## prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio
## 9.909658e+01
## prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio
## -3.734427e+01
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## 7.322743e+01
## prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio
## 7.674228e+00
## prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio
## 1.553591e+01
## prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio
## 2.484534e+01
## prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio
## -9.241971e+00
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 1.496999e+02
## prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio
## -1.147314e+02
## prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio
## 1.343260e+02
## prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio
## -2.740930e+01
## prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio
## 5.349102e+00
## prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio
## -1.239689e+02
## prdl.my.descr.fctrUnknown#1:D.npnct16.log
## 8.126582e+01
## prdl.my.descr.fctriPad 1#1:D.npnct16.log
## 9.125526e+01
## prdl.my.descr.fctriPad 2#1:D.npnct16.log
## 1.194108e+02
## prdl.my.descr.fctriPad 3+#1:D.npnct16.log
## -3.666764e+01
## prdl.my.descr.fctriPadAir#1:D.npnct16.log
## 9.240985e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log
## 6.592720e-01
## prdl.my.descr.fctriPadmini#1:D.npnct16.log
## -3.263706e+01
## prdl.my.descr.fctrUnknown#1:D.npnct01.log
## -7.726229e+01
## prdl.my.descr.fctriPad 1#1:D.npnct01.log
## -3.819887e+01
## prdl.my.descr.fctriPad 2#1:D.npnct01.log
## 7.007665e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct01.log
## -7.964901e+01
## prdl.my.descr.fctriPadAir#1:D.npnct01.log
## 7.143364e+01
## prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log
## 3.967535e+02
## prdl.my.descr.fctriPadmini#1:D.npnct01.log
## -1.228687e+01
## prdl.my.descr.fctrUnknown#1:D.nstopwrds.log
## 1.186171e+01
## prdl.my.descr.fctriPad 1#1:D.nstopwrds.log
## -9.065598e+00
## prdl.my.descr.fctriPad 2#1:D.nstopwrds.log
## 1.938379e+01
## prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log
## 1.719486e+01
## prdl.my.descr.fctriPadAir#1:D.nstopwrds.log
## 3.685112e+01
## prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log
## 1.414319e+02
## prdl.my.descr.fctriPadmini#1:D.nstopwrds.log
## -1.162169e+01
## prdl.my.descr.fctrUnknown#1:D.npnct08.log
## 9.668833e+01
## prdl.my.descr.fctriPad 1#1:D.npnct08.log
## 8.013555e+01
## prdl.my.descr.fctriPad 2#1:D.npnct08.log
## -2.246382e+01
## prdl.my.descr.fctriPad 3+#1:D.npnct08.log
## 6.975971e+00
## prdl.my.descr.fctriPadAir#1:D.npnct08.log
## 1.030137e+02
## prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log
## -1.848236e+02
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop
## 3.698816e+01
## prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop
## -2.741927e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop
## -1.462992e+01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop
## 7.056284e+00
## prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop
## -5.222801e+00
## prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem
## -3.118437e+01
## prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem
## -2.440763e+00
## prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem
## 1.393660e+01
## prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem
## -1.136134e+01
## prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem
## -1.319248e-04
## prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem
## -2.908165e+01
## prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem
## 6.086423e+00
## prdl.my.descr.fctrUnknown#1:biddable
## -4.553881e+01
## prdl.my.descr.fctriPad 1#0:biddable
## 8.088414e+01
## prdl.my.descr.fctriPad 1#1:biddable
## 6.444447e+01
## prdl.my.descr.fctriPad 2#0:biddable
## 2.535543e+01
## prdl.my.descr.fctriPad 2#1:biddable
## 1.588489e+01
## prdl.my.descr.fctriPad 3+#0:biddable
## 5.296586e+00
## prdl.my.descr.fctriPad 3+#1:biddable
## -3.147797e+00
## prdl.my.descr.fctriPadAir#0:biddable
## -7.446133e+01
## prdl.my.descr.fctriPadAir#1:biddable
## 2.681648e+01
## prdl.my.descr.fctriPadmini 2+#0:biddable
## -8.784385e+01
## prdl.my.descr.fctriPadmini 2+#1:biddable
## 6.489641e+01
## prdl.my.descr.fctriPadmini#0:biddable
## 3.125949e+01
## prdl.my.descr.fctriPadmini#1:biddable
## 5.164723e+01
## prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working
## -6.735728e+01
## prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working
## 2.490615e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working
## 2.359584e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working
## 6.985469e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working
## 5.801525e+00
## prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working
## 1.462077e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working
## 3.274357e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working
## -4.163440e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working
## 2.653514e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working
## 6.351012e+01
## prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working
## -7.466340e+01
## prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working
## 3.106878e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working
## -3.281595e+00
## prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished
## -1.523606e+02
## prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished
## -1.084184e+02
## prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished
## -1.041457e+02
## prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished
## -1.303054e+02
## prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished
## -1.528838e+02
## prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished
## -3.310111e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished
## -2.050120e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished
## -2.223440e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished
## 4.981972e+01
## prdl.my.descr.fctriPad 1#0:condition.fctrNew
## 2.879692e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew
## -1.902316e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew
## 1.329093e+01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew
## 1.934468e+01
## prdl.my.descr.fctriPadmini#0:condition.fctrNew
## -1.857718e+00
## prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)
## 2.290516e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)
## -1.575044e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)
## -6.977661e+01
## prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)
## 1.285242e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)
## 4.563268e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)
## -3.997168e+01
## prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)
## 9.298287e+01
## prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)
## -2.839013e-01
## prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)
## 1.977569e+02
## prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)
## -1.286569e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)
## 2.568142e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)
## 4.204461e+01
## prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished
## -1.253461e+02
## prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished
## -4.083718e+01
## prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished
## -4.762247e+01
## prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished
## -6.783312e+00
## prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished
## -4.625348e+01
## prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished
## -8.784323e+01
## prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished
## -9.608283e+00
## prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished
## -1.993636e+02
## prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished
## -4.375076e+01
## prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished
## 1.834308e+02
## prdl.my.descr.fctriPad 3+#1:color.fctrGold
## -2.563117e+01
## prdl.my.descr.fctriPadAir#0:color.fctrGold
## 3.548492e+01
## prdl.my.descr.fctriPadAir#1:color.fctrGold
## 2.450912e+01
## prdl.my.descr.fctriPadmini 2+#0:color.fctrGold
## -1.865643e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrGold
## 1.453329e+02
## prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray
## -6.693249e+01
## prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray
## 2.384101e+00
## prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray
## -6.751092e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray
## 3.036435e+01
## prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray
## 5.702412e+01
## prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray
## -2.322628e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray
## -7.959742e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray
## -2.144247e+01
## prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray
## -5.564111e+01
## prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray
## -9.807925e+01
## prdl.my.descr.fctrUnknown#1:color.fctrUnknown
## 1.086096e+02
## prdl.my.descr.fctriPad 1#0:color.fctrUnknown
## 4.538161e+00
## prdl.my.descr.fctriPad 1#1:color.fctrUnknown
## 2.556575e+01
## prdl.my.descr.fctriPad 2#0:color.fctrUnknown
## -2.960055e+01
## prdl.my.descr.fctriPad 2#1:color.fctrUnknown
## -2.058241e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrUnknown
## -1.997371e+01
## prdl.my.descr.fctriPad 3+#1:color.fctrUnknown
## -2.837687e+01
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 1.483517e+02
## prdl.my.descr.fctriPadAir#1:color.fctrUnknown
## -1.443924e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown
## -1.451002e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown
## 1.852717e+01
## prdl.my.descr.fctriPadmini#0:color.fctrUnknown
## 3.277981e+01
## prdl.my.descr.fctriPadmini#1:color.fctrUnknown
## -2.247809e+01
## prdl.my.descr.fctrUnknown#1:color.fctrWhite
## -7.595693e+01
## prdl.my.descr.fctriPad 1#0:color.fctrWhite
## -7.738680e+01
## prdl.my.descr.fctriPad 1#1:color.fctrWhite
## -6.768773e+01
## prdl.my.descr.fctriPad 2#0:color.fctrWhite
## -7.496875e+01
## prdl.my.descr.fctriPad 2#1:color.fctrWhite
## -5.407452e+01
## prdl.my.descr.fctriPad 3+#0:color.fctrWhite
## -6.928741e+01
## prdl.my.descr.fctriPad 3+#1:color.fctrWhite
## -8.653030e+01
## prdl.my.descr.fctriPadAir#0:color.fctrWhite
## 4.780099e+01
## prdl.my.descr.fctriPadAir#1:color.fctrWhite
## -1.159052e+02
## prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite
## -8.768047e+01
## prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite
## 1.142288e+02
## prdl.my.descr.fctriPadmini#0:color.fctrWhite
## -2.778478e+01
## prdl.my.descr.fctriPadmini#1:color.fctrWhite
## -9.510033e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr16
## -3.659318e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr16
## -7.450134e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr16
## 3.155640e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr16
## 1.759633e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr16
## 4.103870e+01
## prdl.my.descr.fctriPad 3+#1:storage.fctr16
## 1.006449e+02
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## -2.015028e+02
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr16
## -8.334613e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr16
## -9.301855e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr16
## 7.940513e+00
## prdl.my.descr.fctriPadmini#1:storage.fctr16
## 3.680695e-01
## prdl.my.descr.fctrUnknown#1:storage.fctr32
## -1.952834e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr32
## -1.169379e-01
## prdl.my.descr.fctriPad 1#1:storage.fctr32
## -9.307881e+01
## prdl.my.descr.fctriPad 2#0:storage.fctr32
## 1.037561e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr32
## 3.866674e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr32
## 5.154825e+01
## prdl.my.descr.fctriPad 3+#1:storage.fctr32
## 9.261426e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr32
## -1.982073e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr32
## -4.672387e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr32
## -9.728238e+00
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr32
## -1.204192e-02
## prdl.my.descr.fctriPadmini#0:storage.fctr32
## 8.065196e+01
## prdl.my.descr.fctriPadmini#1:storage.fctr32
## -7.431862e+01
## prdl.my.descr.fctrUnknown#1:storage.fctr64
## -1.218471e+02
## prdl.my.descr.fctriPad 1#0:storage.fctr64
## -5.713177e+01
## prdl.my.descr.fctriPad 1#1:storage.fctr64
## -1.302529e+02
## prdl.my.descr.fctriPad 2#0:storage.fctr64
## -2.087951e+01
## prdl.my.descr.fctriPad 2#1:storage.fctr64
## -3.532390e+01
## prdl.my.descr.fctriPad 3+#0:storage.fctr64
## 6.446648e+00
## prdl.my.descr.fctriPad 3+#1:storage.fctr64
## 7.343615e+01
## prdl.my.descr.fctriPadAir#0:storage.fctr64
## -1.870326e+02
## prdl.my.descr.fctriPadAir#1:storage.fctr64
## 1.569500e+02
## prdl.my.descr.fctriPadmini 2+#0:storage.fctr64
## -6.787892e+01
## prdl.my.descr.fctriPadmini 2+#1:storage.fctr64
## -5.967454e+01
## prdl.my.descr.fctriPadmini#0:storage.fctr64
## -2.081594e+00
## prdl.my.descr.fctriPadmini#1:storage.fctr64
## -6.087246e+01
## prdl.my.descr.fctrUnknown#1:storage.fctrUnknown
## -6.713696e+00
## prdl.my.descr.fctriPad 1#0:storage.fctrUnknown
## 2.217224e+00
## prdl.my.descr.fctriPad 1#1:storage.fctrUnknown
## 3.469085e+01
## prdl.my.descr.fctriPad 2#0:storage.fctrUnknown
## -6.280688e+00
## prdl.my.descr.fctriPad 2#1:storage.fctrUnknown
## 8.373145e+00
## prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown
## 1.704426e+02
## prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown
## 6.960143e+01
## prdl.my.descr.fctriPadAir#1:storage.fctrUnknown
## -7.275319e+01
## prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown
## 1.130486e+02
## prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown
## 3.140636e+02
## prdl.my.descr.fctriPadmini#0:storage.fctrUnknown
## 3.661121e+01
## prdl.my.descr.fctriPadmini#1:storage.fctrUnknown
## 3.438490e+01
## prdl.my.descr.fctrUnknown#1:idseq.my
## -1.085387e-01
## prdl.my.descr.fctriPad 1#0:idseq.my
## -5.171231e-02
## prdl.my.descr.fctriPad 1#1:idseq.my
## -3.230617e-02
## prdl.my.descr.fctriPad 2#0:idseq.my
## -6.704649e-02
## prdl.my.descr.fctriPad 2#1:idseq.my
## -2.377128e-02
## prdl.my.descr.fctriPad 3+#0:idseq.my
## -6.581743e-02
## prdl.my.descr.fctriPad 3+#1:idseq.my
## -8.815816e-02
## prdl.my.descr.fctriPadAir#0:idseq.my
## -6.557691e-02
## prdl.my.descr.fctriPadAir#1:idseq.my
## -1.552514e-01
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## -1.310618e-01
## prdl.my.descr.fctriPadmini 2+#1:idseq.my
## 1.515977e-03
## prdl.my.descr.fctriPadmini#0:idseq.my
## -5.462532e-02
## prdl.my.descr.fctriPadmini#1:idseq.my
## -5.436435e-02
## cellular.fctr1:carrier.fctrOther
## 8.108021e+00
## cellular.fctr1:carrier.fctrSprint
## -1.999715e+00
## cellular.fctr1:carrier.fctrUnknown
## 1.086167e+01
## cellular.fctrUnknown:carrier.fctrUnknown
## -1.986554e+01
## cellular.fctr1:carrier.fctrVerizon
## 1.199573e+00
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr2
## -1.935762e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr2
## -1.129212e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr2
## -2.588055e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2
## -2.860114e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr2
## -4.082532e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2
## 2.500613e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr2
## 6.435662e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr3
## -1.041862e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr3
## 1.155878e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr3
## -4.097897e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3
## -7.415734e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr3
## 2.176872e+01
## prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3
## 1.985358e+02
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr3
## 1.724046e+01
## prdl.my.descr.fctrUnknown#1:.clusterid.fctr4
## -2.717065e+02
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr4
## 1.558815e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr4
## -1.517160e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4
## -7.343661e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr4
## -5.966147e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr4
## 8.066409e+01
## prdl.my.descr.fctriPad 1#1:.clusterid.fctr5
## 1.821727e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr5
## -5.137119e+01
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5
## 3.219718e+01
## prdl.my.descr.fctriPadAir#1:.clusterid.fctr5
## -1.396339e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## 4.371694e+01
## prdl.my.descr.fctriPad 2#1:.clusterid.fctr6
## 4.765782e+00
## prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6
## 2.908936e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr6
## 6.293893e+01
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr7
## -8.773462e+00
## character(0)
## character(0)
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.Interact.X.Train.glmnet glmnet
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 9 9.072 1.223
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.7259295 87.30181 0.5528008 4.74637
## max.RsquaredSD.fit
## 1 0.09558183## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 1704 11705
## 794 10794
## 1299 11300
## 792 10792
## 1523 11524
## description
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1299
## 792
## 1523
## biddable startprice condition cellular carrier color storage
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1299 1 650 New 1 Unknown Gold 128
## 792 1 550 Used 0 None Gold 128
## 1523 0 650 New 1 AT&T Unknown 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## startprice.log
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1299 6.476972
## 792 6.309918
## 1523 6.476972
## descr.my
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1299
## 792
## 1523
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1299 New 1 Unknown Gold 128
## 792 Used 0 None Gold 128
## 1523 New 1 AT&T Unknown 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1299 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1523 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1299 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## 1523 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1299 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## 1523 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1299 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1299 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## 1523 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1299 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## 1523 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1299 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## 1523 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1299 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## 1523 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1299 0 0 0 0 0
## 792 0 0 0 0 0
## 1523 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1299 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## 1523 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1299 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## 1523 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## 792 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1358 Unknown#0 1 1 Fit
## 1704 Unknown#0 1 1 Fit
## 794 iPadAir#1 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## 792 iPadAir#0 1 1 Fit
## 1523 iPadmini 2+#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1299 353.6184
## 792 276.5048
## 1523 386.5313
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1299 296.3816
## 792 273.4952
## 1523 263.4687
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 1299 305.6479 344.3521
## 792 240.5527 309.4473
## 1523 363.3115 286.6885
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1299 400.1281
## 792 370.6733
## 1523 500.2487
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1299 249.8719
## 792 179.3267
## 1523 149.7513
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 1299 221.8944
## 792 221.8944
## 1523 362.2824
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 1299 428.1056
## 792 328.1056
## 1523 287.7176
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1299 396.3754
## 792 371.6210
## 1523 494.0150
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1299 253.6246
## 792 178.3790
## 1523 155.9850
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 1299 382.2122 267.7878
## 792 313.2756 236.7244
## 1523 438.0885 211.9115
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1299 382.8107
## 792 313.0580
## 1523 437.7320
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 1299 267.1893 383.0273
## 792 236.9420 313.2768
## 1523 212.2680 439.0099
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 1299 266.9727 383.0273
## 792 236.7232 313.2768
## 1523 210.9901 439.0099
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 1299 266.9727 237.2502
## 792 236.7232 237.2502
## 1523 210.9901 310.0750
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1299 412.7498
## 792 312.7498
## 1523 339.9250
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 1299 235.7130
## 792 235.7130
## 1523 313.5584
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 1299 414.2870
## 792 314.2870
## 1523 336.4416
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 1704 330.3139
## 794 244.4212
## 1299 402.1242
## 792 323.6249
## 1523 438.0361
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.7534
## 1704 259.6861
## 794 280.5788
## 1299 247.8758
## 792 226.3751
## 1523 211.9639
## startprice.predict.Max.cor.Y.rpart
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1299 221.89441
## 792 221.89441
## 1523 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1299 428.1056
## 792 328.1056
## 1523 415.5083
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1299 221.89441
## 792 221.89441
## 1523 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1299 428.1056
## 792 328.1056
## 1523 415.5083
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.49168
## 1704 234.49168
## 794 74.98766
## 1299 224.47493
## 792 224.47493
## 1523 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.5083
## 1704 355.5083
## 794 450.0123
## 1299 425.5251
## 792 325.5251
## 1523 415.5083
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1299 353.6184
## 792 276.5048
## 1523 386.5313
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1299 296.3816
## 792 273.4952
## 1523 263.4687## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2466 12468
## 1418 11419
## 2437 12439
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128 gb ATT factory unlock open box for unlock the ipad
## 1418
## 2437 Overall very good condition, very minor signs of use.
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2466 0 800.00 New other (see details) 1 AT&T
## 1418 1 700.00 Used Unknown Unknown
## 2437 0 659.49 Used 1 AT&T
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2466 Unknown 128 iPad Air 2 Test <NA> -0.14403644 2468
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2437 Space Gray 128 iPad Air 2 Test <NA> -1.03713857 2439
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2466 iPadAir 6.684612
## 1418 Unknown 6.551080
## 2437 iPadAir 6.491467
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128gb ATT factory unlock open box for unlock the ipad
## 1418
## 2437 Overall very good condition, very minor signs of use.
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2466 New other (see details) 1 AT&T Unknown
## 1418 Used Unknown Unknown Unknown
## 2437 Used 1 AT&T Space Gray
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2466 128 8 2.197225
## 1418 Unknown 0 0.000000
## 2437 128 6 1.945910
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2466 7.141834 8 2.197225
## 1418 0.000000 0 0.000000
## 2437 4.717469 6 1.945910
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2466 6.768608 1
## 1418 0.000000 1
## 2437 4.423194 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0.0000000 0 0
## 1396 1.0000000 0.0000000 0.0000000 0 0
## 2466 0.9477409 0.0000000 0.0000000 0 0
## 1418 1.0000000 0.0000000 0.0000000 0 0
## 2437 0.9376202 0.4021144 0.5317845 0 0
## 2507 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0.0000000
## 1396 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2466 0.0000000 0 0 0.7035203 0 0 0.4594223
## 1418 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2437 0.6255884 0 0 0.0000000 0 0 0.0000000
## 2507 0.0000000 0 0 0.0000000 0 0 0.0000000
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0.0000000 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.7508696 0
## 2507 0 0 0 0 0.0000000 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2466 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2437 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0.000000 0.0000000
## 1396 0 0 0 0 0 0.000000 0.0000000
## 2466 0 0 0 0 0 0.000000 0.5916151
## 1418 0 0 0 0 0 0.000000 0.0000000
## 2437 0 0 0 0 0 0.851466 0.0000000
## 2507 0 0 0 0 0 0.000000 0.0000000
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2466 0 0 0 0 2.639057 2.197225
## 1418 0 0 0 0 0.000000 0.000000
## 2437 0 0 0 0 2.302585 1.945910
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2466 6.768608 0.5206622 4.174387 3.891820
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2437 4.423194 0.4914660 3.988984 3.784190
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2466 1.609438 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2437 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.0986123 0
## 1396 0 0.0000000 0 0.0000000 0
## 2466 0 0.0000000 0 0.0000000 0
## 1418 0 0.0000000 0 0.0000000 0
## 2437 0 0.6931472 0 0.6931472 0
## 2507 0 0.0000000 0 0.0000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.945910
## 1396 0 0.0000000 0.0000000 0.000000
## 2466 0 0.0000000 0.6931472 1.098612
## 1418 0 0.0000000 0.0000000 0.000000
## 2437 0 0.0000000 0.6931472 1.386294
## 2507 0 0.0000000 0.0000000 0.000000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2466 0.2142857 0 1 0 0
## 1418 1.0000000 0 0 0 0
## 2437 0.4000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2466 iPadAir iPadAir#1 3 3
## 1418 Unknown Unknown#0 1 1
## 2437 iPadAir iPadAir#1 2 2
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 2466 119.73755
## 1418 48.86094
## 2437 81.76848
## 2507 164.20329
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2466 680.2625
## 1418 651.1391
## 2437 577.7215
## 2507 565.7867
## [1] "fitting model: All.X.no.rnorm.Train.rf"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 75 on full training set
## Length Class Mode
## call 4 -none- call
## type 1 -none- character
## predicted 860 -none- numeric
## mse 500 -none- numeric
## rsq 500 -none- numeric
## oob.times 860 -none- numeric
## importance 149 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 11 -none- list
## coefs 0 -none- NULL
## y 860 -none- numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## xNames 149 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 1 -none- logical
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.X.no.rnorm.Train.rf rf
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 84.216 13.583
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.888838 90.55131 0.5159217 4.051523
## max.RsquaredSD.fit
## 1 0.09424927## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 1299 11300
## 794 10794
## 1704 11705
## 1447 11448
## 792 10792
## description
## 1358
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 1447
## 792
## biddable startprice condition cellular carrier color storage
## 1358 0 595.00 New Unknown Unknown Unknown Unknown
## 1299 1 650.00 New 1 Unknown Gold 128
## 794 1 525.00 Used 0 None White 128
## 1704 0 590.00 New Unknown Unknown White 16
## 1447 0 4.69 New Unknown Unknown Unknown Unknown
## 792 1 550.00 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 1447 Unknown Train <NA> 3.7446833 1448 Unknown
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1358 6.388561
## 1299 6.476972
## 794 6.263398
## 1704 6.380123
## 1447 1.545433
## 792 6.309918
## descr.my
## 1358
## 1299
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 1447
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1358 New Unknown Unknown Unknown Unknown
## 1299 New 1 Unknown Gold 128
## 794 Used 0 None White 128
## 1704 New Unknown Unknown White 16
## 1447 New Unknown Unknown Unknown Unknown
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1358 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1704 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0.000000 0.000000
## 1299 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1704 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1.0000000 0.0000000
## 1299 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1704 1 1.0000000 0.0000000
## 1447 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0.0000000 0 0 0 0 0 0
## 1299 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 1447 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 1447 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1299 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1704 0 0 0 0.0000000 0 0 0.000000
## 1447 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0.0000000 0 0
## 1299 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1704 0 0 0 0.0000000 0 0
## 1447 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0.000000 0.000000 0.000000
## 1299 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1704 0 0.000000 0.000000 0.000000
## 1447 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0.0000000 0.000000 0.000000 0
## 1299 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1704 0.0000000 0.000000 0.000000 0
## 1447 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 794 0 0 0 0 0
## 1704 0 0 0 0 0
## 1447 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0.000000 0 0
## 1299 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1704 0 0 0.000000 0 0
## 1447 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0.0000000 0.000000 1.0
## 1299 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1704 0 0.0000000 0.000000 1.0
## 1447 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 794 0 0 0 0 iPadAir
## 1704 0 0 0 0 Unknown
## 1447 0 0 0 0 Unknown
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1358 Unknown#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## 794 iPadAir#1 1 1 Fit
## 1704 Unknown#0 1 1 Fit
## 1447 Unknown#0 1 1 Fit
## 792 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1299 353.6184
## 794 192.0747
## 1704 245.8868
## 1447 236.3185
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 1299 296.3816
## 794 332.9253
## 1704 344.1132
## 1447 231.6285
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.6581
## 1299 305.6479 344.3521
## 794 198.9953 326.0047
## 1704 241.5433 348.4567
## 1447 269.4240 264.7340
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1299 400.1281
## 794 318.9829
## 1704 400.9275
## 1447 187.6060
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.2840
## 1299 249.8719
## 794 206.0171
## 1704 189.0725
## 1447 182.9160
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 1299 221.8944
## 794 125.7944
## 1704 224.5690
## 1447 224.5690
## 792 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.4310
## 1299 428.1056
## 794 399.2056
## 1704 365.4310
## 1447 219.8790
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 1299 396.3754
## 794 337.6408
## 1704 401.5837
## 1447 182.2854
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.9979
## 1299 253.6246
## 794 187.3592
## 1704 188.4163
## 1447 177.5954
## 792 178.3790
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.0374
## 1299 382.2122 267.7878
## 794 280.5446 244.4554
## 1704 240.2116 349.7884
## 1447 257.0232 252.3332
## 792 313.2756 236.7244
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 1299 382.8107
## 794 290.3568
## 1704 243.4112
## 1447 256.9023
## 792 313.0580
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.1528 259.1831
## 1299 267.1893 383.0273
## 794 234.6432 293.5478
## 1704 346.5888 243.0785
## 1447 252.2123 257.1820
## 792 236.9420 313.2768
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.8169 259.1831
## 1299 266.9727 383.0273
## 794 231.4522 293.5478
## 1704 346.9215 243.0785
## 1447 252.4920 257.1820
## 792 236.7232 313.2768
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.8169 198.8825
## 1299 266.9727 237.2502
## 794 231.4522 142.7082
## 1704 346.9215 198.8825
## 1447 252.4920 198.8825
## 792 236.7232 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.1175
## 1299 412.7498
## 794 382.2918
## 1704 391.1175
## 1447 194.1925
## 792 312.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 1299 235.7130
## 794 155.0292
## 1704 202.5649
## 1447 202.5649
## 792 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.4351
## 1299 414.2870
## 794 369.9708
## 1704 387.4351
## 1447 197.8749
## 792 314.2870
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 1299 402.1242
## 794 244.4212
## 1704 330.3139
## 1447 239.1116
## 792 323.6249
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.7534
## 1299 247.8758
## 794 280.5788
## 1704 259.6861
## 1447 234.4216
## 792 226.3751
## startprice.predict.Max.cor.Y.rpart
## 1358 234.49168
## 1299 221.89441
## 794 75.03309
## 1704 234.49168
## 1447 234.49168
## 792 221.89441
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.5083
## 1299 428.1056
## 794 449.9669
## 1704 355.5083
## 1447 229.8017
## 792 328.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.49168
## 1299 221.89441
## 794 75.03309
## 1704 234.49168
## 1447 234.49168
## 792 221.89441
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.5083
## 1299 428.1056
## 794 449.9669
## 1704 355.5083
## 1447 229.8017
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.49168
## 1299 224.47493
## 794 74.98766
## 1704 234.49168
## 1447 234.49168
## 792 224.47493
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.5083
## 1299 425.5251
## 794 450.0123
## 1704 355.5083
## 1447 229.8017
## 792 325.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 1299 353.6184
## 794 192.0747
## 1704 245.8868
## 1447 236.3185
## 792 276.5048
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3686
## 1299 296.3816
## 794 332.9253
## 1704 344.1132
## 1447 231.6285
## 792 273.4952
## startprice.predict.All.X.no.rnorm.Train.rf
## 1358 329.7160
## 1299 400.1281
## 794 318.9829
## 1704 400.9275
## 1447 187.6060
## 792 370.6733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1358 265.2840
## 1299 249.8719
## 794 206.0171
## 1704 189.0725
## 1447 182.9160
## 792 179.3267## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1492 11493
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1492
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1492 1 729.99 New 0 None
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1492 iPadmini 2+ 6.593031
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1492
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1492 New 0 None White
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1492 128 0 0.000000
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1492 0.000000 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2507 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2507 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2507 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1492 209.89804
## 2507 164.20329
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1492 520.0920
## 2507 565.7867
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1492 136.42943
## 2507 140.49668
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1492 593.5606
## 2507 589.4933
## [1] "fitting model: Max.cor.Y.cv.0.cp.0.Train.rpart"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = paste0(c(head(mdl_id_components, -1),
## "Train"), : model's bestTune found at an extreme of tuneGrid for parameter:
## cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.000000
## 2 0.08875699 1 0.770589
## 3 0.06838998 2 0.681832
##
## Variable importance
## biddable prdl.my.descr.fctriPadAir#0
## 72 28
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.02778574, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02715487, (0 missing)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02072980, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01741560, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.01465991, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.01383661, (0 missing)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 572 observations
## mean=75.03309, MSE=6729.045
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014 75.03309 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551 221.89440 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 Max.cor.Y.cv.0.cp.0.Train.rpart rpart
## feats max.nTuningRuns min.elapsedtime.everything
## 1 biddable, prdl.my.descr.fctr 3 1.195
## min.elapsedtime.final max.R.sq.fit min.RMSE.fit max.Rsquared.fit
## 1 0.016 0.318168 107.5255 0.342084
## min.RMSESD.fit max.RsquaredSD.fit
## 1 6.490951 0.06028494## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr .lcn startprice.predict.All.Interact.X.glmnet
## 794 1 Fit 192.0747
## 935 1 Fit 503.8885
## 1299 1 Fit 353.6184
## 1523 1 Fit 386.5313
## 803 1 Fit 542.7451
## 1217 1 Fit 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.Train.glmnet
## 794 192.0747
## 935 503.8885
## 1299 353.6184
## 1523 386.5313
## 803 542.7451
## 1217 555.1731
## startprice.predict.All.Interact.X.Train.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.no.rnorm.Train.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## [1] "fitting model: All.Interact.X.no.rnorm.Train.rf"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Selecting tuning parameters
## Fitting mtry = 231 on full training set
## Length Class Mode
## call 4 -none- call
## type 1 -none- character
## predicted 860 -none- numeric
## mse 500 -none- numeric
## rsq 500 -none- numeric
## oob.times 860 -none- numeric
## importance 460 -none- numeric
## importanceSD 0 -none- NULL
## localImportance 0 -none- NULL
## proximity 0 -none- NULL
## ntree 1 -none- numeric
## mtry 1 -none- numeric
## forest 11 -none- list
## coefs 0 -none- NULL
## y 860 -none- numeric
## test 0 -none- NULL
## inbag 0 -none- NULL
## xNames 460 -none- character
## problemType 1 -none- character
## tuneValue 1 data.frame list
## obsLevels 1 -none- logical
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.Interact.X.no.rnorm.Train.rf rf
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 306.034 49.947
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.8987088 91.14016 0.5131015 2.871728
## max.RsquaredSD.fit
## 1 0.08890712## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 792 10792
## 1447 11448
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 792
## 1447
## biddable startprice condition cellular carrier color storage
## 1299 1 650.00 New 1 Unknown Gold 128
## 1358 0 595.00 New Unknown Unknown Unknown Unknown
## 1704 0 590.00 New Unknown Unknown White 16
## 794 1 525.00 Used 0 None White 128
## 792 1 550.00 Used 0 None Gold 128
## 1447 0 4.69 New Unknown Unknown Unknown Unknown
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## 1447 Unknown Train <NA> 3.7446833 1448 Unknown
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 792 6.309918
## 1447 1.545433
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 792
## 1447
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 792 Used 0 None Gold 128
## 1447 New Unknown Unknown Unknown Unknown
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 792 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 792 0 0.000000 0.000000
## 1447 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 792 1 1.0000000 0.0000000
## 1447 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## 1447 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## 1447 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 792 0 0 0 0.0000000 0 0 0.000000
## 1447 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 792 0 0 0 0.0000000 0 0
## 1447 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 792 0 0.000000 0.000000 0.000000
## 1447 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 792 0.0000000 0.000000 0.000000 0
## 1447 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 792 0 0 0 0 0
## 1447 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 792 0 0 0.000000 0 0
## 1447 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 792 0 0.0000000 0.000000 1.0
## 1447 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 792 0 0 0 0 iPadAir
## 1447 0 0 0 0 Unknown
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1299 iPadAir#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1704 Unknown#0 1 1 Fit
## 794 iPadAir#1 1 1 Fit
## 792 iPadAir#0 1 1 Fit
## 1447 Unknown#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 792 276.5048
## 1447 236.3185
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 792 273.4952
## 1447 231.6285
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 792 240.5527 309.4473
## 1447 269.4240 264.7340
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 792 370.6733
## 1447 187.6060
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 792 179.3267
## 1447 182.9160
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 792 221.8944
## 1447 224.5690
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 792 328.1056
## 1447 219.8790
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 792 371.6210
## 1447 182.2854
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 792 178.3790
## 1447 177.5954
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1299 382.2122 267.7878
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 792 313.2756 236.7244
## 1447 257.0232 252.3332
## startprice.predict.All.X.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 792 313.0580
## 1447 256.9023
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1299 267.1893 383.0273
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 792 236.9420 313.2768
## 1447 252.2123 257.1820
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1299 266.9727 383.0273
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 792 236.7232 313.2768
## 1447 252.4920 257.1820
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1299 266.9727 237.2502
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 792 236.7232 237.2502
## 1447 252.4920 198.8825
## startprice.predict.Max.cor.Y.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 792 312.7498
## 1447 194.1925
## startprice.predict.Interact.High.cor.Y.lm
## 1299 235.7130
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 792 235.7130
## 1447 202.5649
## startprice.predict.Interact.High.cor.Y.lm.err
## 1299 414.2870
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 792 314.2870
## 1447 197.8749
## startprice.predict.All.Interact.X.bayesglm
## 1299 402.1242
## 1358 229.2466
## 1704 330.3139
## 794 244.4212
## 792 323.6249
## 1447 239.1116
## startprice.predict.All.Interact.X.bayesglm.err
## 1299 247.8758
## 1358 365.7534
## 1704 259.6861
## 794 280.5788
## 792 226.3751
## 1447 234.4216
## startprice.predict.Max.cor.Y.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 792 221.89441
## 1447 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 792 328.1056
## 1447 229.8017
## startprice.predict.All.X.no.rnorm.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 792 221.89441
## 1447 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 792 328.1056
## 1447 229.8017
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1299 224.47493
## 1358 234.49168
## 1704 234.49168
## 794 74.98766
## 792 224.47493
## 1447 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1299 425.5251
## 1358 360.5083
## 1704 355.5083
## 794 450.0123
## 792 325.5251
## 1447 229.8017
## startprice.predict.All.Interact.X.Train.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 792 276.5048
## 1447 236.3185
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 792 273.4952
## 1447 231.6285
## startprice.predict.All.X.no.rnorm.Train.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 792 370.6733
## 1447 187.6060
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 792 179.3267
## 1447 182.9160
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 792 221.89441
## 1447 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 792 328.1056
## 1447 229.8017
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 792 371.6210
## 1447 182.2854
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 792 178.3790
## 1447 177.5954## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## 1418 11419
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 1418
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## 1418 Unknown 6.551080
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 1418
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## 1418 Unknown 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## 1418 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 1418 Unknown Unknown#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## 1418 48.86094
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## 1418 651.1391
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 1492 136.42943
## 2501 241.74780
## 1487 147.05734
## 1418 68.68574
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## 1418 631.3143
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 1418 75.03309
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 1418 624.9669
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## 1418 66.77037
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## 1418 633.2296
## [1] "fitting model: Low.cor.X.Train.lm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -292.94 -44.85 -1.39 48.06 349.79
##
## Coefficients: (56 not defined because of singularities)
## Estimate Std. Error
## (Intercept) 2.106e+02 2.080e+02
## `prdl.my.descr.fctrUnknown#1` 6.363e+01 3.803e+01
## `prdl.my.descr.fctriPad 1#0` -5.308e+01 1.974e+01
## `prdl.my.descr.fctriPad 1#1` -6.190e+01 4.084e+01
## `prdl.my.descr.fctriPad 2#0` -1.198e+01 1.912e+01
## `prdl.my.descr.fctriPad 2#1` -1.812e+01 3.836e+01
## `prdl.my.descr.fctriPad 3+#0` 2.234e+01 1.874e+01
## `prdl.my.descr.fctriPad 3+#1` 1.325e+01 4.044e+01
## `prdl.my.descr.fctriPadAir#0` 1.225e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 6.537e+01 3.913e+01
## `prdl.my.descr.fctriPadmini 2+#0` 5.607e+01 1.990e+01
## `prdl.my.descr.fctriPadmini 2+#1` 5.616e+01 4.729e+01
## `prdl.my.descr.fctriPadmini#0` 5.802e+00 1.871e+01
## `prdl.my.descr.fctriPadmini#1` -6.342e+00 4.490e+01
## `condition.fctrFor parts or not working` -5.127e+01 1.276e+01
## `condition.fctrManufacturer refurbished` -1.151e+01 2.408e+01
## condition.fctrNew 6.401e+01 1.201e+01
## `condition.fctrNew other (see details)` 5.791e+01 1.672e+01
## `condition.fctrSeller refurbished` -2.389e+01 1.704e+01
## D.TfIdf.sum.stem.stop.Ratio 1.950e+02 1.154e+02
## color.fctrGold -6.417e+00 2.218e+01
## `color.fctrSpace Gray` 1.330e+01 1.242e+01
## color.fctrUnknown -6.912e+00 8.434e+00
## color.fctrWhite 1.759e+01 9.419e+00
## carrier.fctrNone 3.945e+01 2.372e+01
## carrier.fctrOther 1.028e+02 5.907e+01
## carrier.fctrSprint -3.218e+01 2.725e+01
## `carrier.fctrT-Mobile` -6.811e-01 3.339e+01
## carrier.fctrUnknown 1.387e+01 1.653e+01
## carrier.fctrVerizon 5.904e+00 1.478e+01
## .rnorm -4.499e-01 2.978e+00
## storage.fctr16 -1.389e+02 1.980e+01
## storage.fctr32 -1.296e+02 2.066e+01
## storage.fctr64 -8.934e+01 2.038e+01
## storage.fctrUnknown -9.989e+01 2.706e+01
## D.npnct14.log -5.742e-01 3.884e+01
## cellular.fctr1 3.832e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio -9.706e+01 1.794e+02
## D.ndgts.log 3.900e+00 1.537e+01
## idseq.my -1.441e-02 7.582e-03
## D.npnct08.log 7.407e+00 2.370e+01
## D.npnct05.log -7.306e+01 8.062e+01
## D.npnct15.log -2.914e+01 3.267e+01
## D.npnct01.log 1.119e+01 2.205e+01
## D.npnct16.log 5.082e+01 3.385e+01
## D.npnct12.log 4.296e+00 2.431e+01
## D.npnct03.log -2.545e+01 4.901e+01
## D.npnct11.log -1.701e+01 1.265e+01
## D.npnct13.log -8.586e+00 1.168e+01
## D.TfIdf.sum.post.stop 5.910e+00 4.111e+00
## D.ratio.sum.TfIdf.nwrds -3.209e+01 7.876e+00
## biddable -1.393e+02 7.539e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -1.217e+01 4.044e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -2.152e+00 3.220e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -2.082e+00 2.999e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.004e+01 3.132e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.161e+00 2.748e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -5.228e+00 4.267e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -7.811e+00 4.487e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.600e+00 4.710e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.846e+01 4.136e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 4.499e+00 4.402e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.549e+01 4.232e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -4.837e+01 4.290e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 6.611e+01 9.355e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -7.907e+00 4.534e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.233e+02 4.471e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 3.369e+01 3.984e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 2.161e+00 3.257e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.301e+01 7.139e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -7.956e+01 4.968e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.261e+01 3.956e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 3.398e+01 4.226e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.400e+01 3.775e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.323e+01 3.395e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 5.743e+01 7.107e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.761e+01 4.397e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 7.290e-01 4.382e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -9.083e+00 4.492e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -4.439e+00 4.176e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.955e+01 6.155e+01
## t value Pr(>|t|)
## (Intercept) 1.012 0.311648
## `prdl.my.descr.fctrUnknown#1` 1.673 0.094705 .
## `prdl.my.descr.fctriPad 1#0` -2.689 0.007315 **
## `prdl.my.descr.fctriPad 1#1` -1.516 0.130022
## `prdl.my.descr.fctriPad 2#0` -0.627 0.531083
## `prdl.my.descr.fctriPad 2#1` -0.472 0.636867
## `prdl.my.descr.fctriPad 3+#0` 1.192 0.233724
## `prdl.my.descr.fctriPad 3+#1` 0.328 0.743304
## `prdl.my.descr.fctriPadAir#0` 6.513 1.32e-10 ***
## `prdl.my.descr.fctriPadAir#1` 1.671 0.095191 .
## `prdl.my.descr.fctriPadmini 2+#0` 2.818 0.004952 **
## `prdl.my.descr.fctriPadmini 2+#1` 1.188 0.235336
## `prdl.my.descr.fctriPadmini#0` 0.310 0.756624
## `prdl.my.descr.fctriPadmini#1` -0.141 0.887695
## `condition.fctrFor parts or not working` -4.019 6.41e-05 ***
## `condition.fctrManufacturer refurbished` -0.478 0.632679
## condition.fctrNew 5.330 1.29e-07 ***
## `condition.fctrNew other (see details)` 3.463 0.000563 ***
## `condition.fctrSeller refurbished` -1.402 0.161285
## D.TfIdf.sum.stem.stop.Ratio 1.690 0.091428 .
## color.fctrGold -0.289 0.772385
## `color.fctrSpace Gray` 1.071 0.284542
## color.fctrUnknown -0.819 0.412758
## color.fctrWhite 1.867 0.062227 .
## carrier.fctrNone 1.663 0.096659 .
## carrier.fctrOther 1.741 0.082084 .
## carrier.fctrSprint -1.181 0.238073
## `carrier.fctrT-Mobile` -0.020 0.983732
## carrier.fctrUnknown 0.839 0.401698
## carrier.fctrVerizon 0.400 0.689606
## .rnorm -0.151 0.879973
## storage.fctr16 -7.014 5.04e-12 ***
## storage.fctr32 -6.275 5.79e-10 ***
## storage.fctr64 -4.384 1.32e-05 ***
## storage.fctrUnknown -3.691 0.000239 ***
## D.npnct14.log -0.015 0.988209
## cellular.fctr1 1.771 0.077018 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio -0.541 0.588564
## D.ndgts.log 0.254 0.799710
## idseq.my -1.901 0.057685 .
## D.npnct08.log 0.313 0.754734
## D.npnct05.log -0.906 0.365113
## D.npnct15.log -0.892 0.372737
## D.npnct01.log 0.507 0.612042
## D.npnct16.log 1.501 0.133669
## D.npnct12.log 0.177 0.859785
## D.npnct03.log -0.519 0.603703
## D.npnct11.log -1.345 0.179157
## D.npnct13.log -0.735 0.462342
## D.TfIdf.sum.post.stop 1.438 0.150970
## D.ratio.sum.TfIdf.nwrds -4.074 5.09e-05 ***
## biddable -18.482 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.301 0.763567
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.067 0.946731
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.069 0.944677
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.321 0.748613
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -0.042 0.966299
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` -0.123 0.902526
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.174 0.861852
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.034 0.972903
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.688 0.491674
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.102 0.918615
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.075 0.282779
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.127 0.259963
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.707 0.479940
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.174 0.861597
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.759 0.005942 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.846 0.397996
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.066 0.947111
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.023 0.306739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.601 0.109674
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.319 0.749891
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.804 0.421570
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.636 0.525080
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.684 0.493930
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.808 0.419256
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.855 0.392621
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.017 0.986732
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.202 0.839824
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.106 0.915383
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.480 0.631246
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.56 on 779 degrees of freedom
## Multiple R-squared: 0.6139, Adjusted R-squared: 0.5742
## F-statistic: 15.48 on 80 and 779 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## model_id model_method
## 1 Low.cor.X.Train.lm lm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.39 0.064
## max.R.sq.fit min.RMSE.fit max.Adj.R.sq.fit max.Rsquared.fit
## 1 0.6138568 91.4419 0.5742015 0.5166192
## min.RMSESD.fit max.RsquaredSD.fit
## 1 3.515068 0.07717565## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 438 10438 1 1.00 New
## 1234 11235 1 0.99 New other (see details)
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 438 -1.8772574 438 iPadAir 0.00000000
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 438 New 0 None Gold
## 1234 New other (see details) 1 Unknown Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 438 64 0 0
## 1234 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 438 0 0 0
## 1234 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 438 0 1
## 1234 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 438 1 0 0 0 0
## 1234 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 438 0 0 0 0
## 1234 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 438 0 0 0 0 0
## 1234 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 438 0 0 0 0 0
## 1234 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 438 0 0 0 1
## 1234 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 438 0 0 0 0 iPadAir
## 1234 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1704 Unknown#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 438 iPadAir#0 1 1 Fit
## 1234 iPadAir#0 1 1 Fit
## 398 iPadAir#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 438 233.7865
## 1234 263.4710
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 438 232.7865
## 1234 262.4810
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 438 305.9088 304.9088
## 1234 285.9075 284.9175
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 438 116.7367
## 1234 160.2606
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 438 115.7367
## 1234 159.2706
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 438 221.8944
## 1234 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 438 220.8944
## 1234 220.9044
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 438 111.7434
## 1234 142.8787
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 438 110.7434
## 1234 141.8887
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 438 293.9401 292.9401
## 1234 288.5288 287.5388
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 438 291.5352
## 1234 292.2736
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 438 290.5352 291.4525
## 1234 291.2836 292.6160
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1704 346.9215 243.0785
## 1358 335.8169 259.1831
## 438 290.4525 291.4525
## 1234 291.6260 292.6160
## 398 278.3775 279.3675
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1704 346.9215 198.8825
## 1358 335.8169 198.8825
## 438 290.4525 237.2502
## 1234 291.6260 237.2502
## 398 278.3775 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1704 391.1175
## 1358 396.1175
## 438 236.2502
## 1234 236.2602
## 398 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1704 202.5649
## 1358 202.5649
## 438 235.7130
## 1234 235.7130
## 398 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1704 387.4351
## 1358 392.4351
## 438 234.7130
## 1234 234.7230
## 398 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1704 330.3139
## 1358 229.2466
## 438 211.4389
## 1234 252.3681
## 398 244.9048
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1704 259.6861
## 1358 365.7534
## 438 210.4389
## 1234 251.3781
## 398 243.9148
## 1299 247.8758
## startprice.predict.Max.cor.Y.rpart
## 1704 234.4917
## 1358 234.4917
## 438 221.8944
## 1234 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1704 355.5083
## 1358 360.5083
## 438 220.8944
## 1234 220.9044
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 438 221.8944
## 1234 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 438 220.8944
## 1234 220.9044
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 438 224.4749
## 1234 224.4749
## 398 224.4749
## 1299 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 438 223.4749
## 1234 223.4849
## 398 223.4849
## 1299 425.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1704 245.8868
## 1358 233.6314
## 438 233.7865
## 1234 263.4710
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 438 232.7865
## 1234 262.4810
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.no.rnorm.Train.rf
## 1704 400.9275
## 1358 329.7160
## 438 116.7367
## 1234 160.2606
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1704 189.0725
## 1358 265.2840
## 438 115.7367
## 1234 159.2706
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1704 234.4917
## 1358 234.4917
## 438 221.8944
## 1234 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1704 355.5083
## 1358 360.5083
## 438 220.8944
## 1234 220.9044
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1704 401.5837
## 1358 342.0021
## 438 111.7434
## 1234 142.8787
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1704 188.4163
## 1358 252.9979
## 438 110.7434
## 1234 141.8887
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.Train.lm
## 1704 240.2116
## 1358 258.9626
## 438 293.9401
## 1234 288.5288
## 398 277.5331
## 1299 382.2122
## startprice.predict.Low.cor.X.Train.lm.err
## 1704 349.7884
## 1358 336.0374
## 438 292.9401
## 1234 287.5388
## 398 276.5431
## 1299 267.7878## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1418 11419
## 2632 12634
## 2501 12503
## 1764 11765
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## 2501
## 1764
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1418 1 700.00 Used Unknown Unknown
## 2632 0 700.00 Used 1 Verizon
## 2501 1 879.99 New 0 None
## 1764 1 500.00 For parts or not working Unknown Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2632 Unknown 32 iPad 2 Test <NA> 1.88359156 2634
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1764 Unknown Unknown Unknown Test <NA> -0.39510015 1765
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1418 Unknown 6.551080
## 2632 iPad 2 6.551080
## 2501 iPadAir 6.779911
## 1764 Unknown 6.214608
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## 2501
## 1764
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 2632 Used 1 Verizon Unknown
## 2501 New 0 None Space Gray
## 1764 For parts or not working Unknown Unknown Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1418 Unknown 0 0.000000
## 2632 32 8 2.197225
## 2501 128 0 0.000000
## 1764 Unknown 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 2632 7.047501 8 2.197225
## 2501 0.000000 0 0.000000
## 1764 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 2632 6.968494 1
## 2501 0.000000 1
## 1764 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## 2501 1.0000000 0.0000000 0 0 0
## 1764 1.0000000 0.0000000 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0
## 1396 0.0000000 0 0 0.0000000 0 0 0
## 1418 0.0000000 0 0 0.0000000 0 0 0
## 2632 0.4691913 0 0 0.4397002 0 0 0
## 2501 0.0000000 0 0 0.0000000 0 0 0
## 1764 0.0000000 0 0 0.0000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1764 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1764 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1764 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1764 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 2632 0 0 0 0 2.484907 2.197225
## 2501 0 0 0 0 0.000000 0.000000
## 1764 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2632 6.968494 0.6334994 4.077537 3.713572
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1764 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2632 1.609438 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1764 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## 2501 0 0.0000000 0 0.000000 0
## 1764 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## 2501 0 0.0000000 0.0000000 0.0000000
## 1764 0 0.0000000 0.0000000 0.0000000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1764 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 2632 iPad 2 iPad 2#1 2 2
## 2501 iPadAir iPadAir#0 1 1
## 1764 Unknown Unknown#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.228454
## 1396 252.561346
## 1418 48.860942
## 2632 184.139167
## 2501 411.992133
## 1764 6.224095
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 2632 515.8608
## 2501 467.9979
## 1764 493.7759
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 2632 221.29721
## 2501 241.74780
## 1764 26.10928
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 2632 478.7028
## 2501 638.2422
## 1764 473.8907
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1418 75.03309
## 2632 234.49168
## 2501 221.89441
## 1764 75.03309
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1418 624.9669
## 2632 465.5083
## 2501 658.0956
## 1764 424.9669
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 2632 195.77455
## 2501 229.24957
## 1764 21.83392
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1418 633.2296
## 2632 504.2255
## 2501 650.7404
## 1764 478.1661
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2271510
## 1396 196.5086283
## 1418 55.4959976
## 2632 173.1583605
## 2501 372.1602595
## 1764 -0.3076566
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1418 644.5040
## 2632 526.8416
## 2501 507.8297
## 1764 500.3077
## [1] "fitting model: All.X.Train.bayesglm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -291.28 -44.44 0.15 46.26 346.59
##
## Coefficients:
## Estimate Std. Error
## (Intercept) 2.175e+02 7.915e+02
## `prdl.my.descr.fctrUnknown#1` 4.880e+01 1.723e+02
## `prdl.my.descr.fctriPad 1#0` -5.328e+01 2.043e+01
## `prdl.my.descr.fctriPad 1#1` -8.791e+01 1.718e+02
## `prdl.my.descr.fctriPad 2#0` -1.286e+01 1.978e+01
## `prdl.my.descr.fctriPad 2#1` -4.650e+01 1.717e+02
## `prdl.my.descr.fctriPad 3+#0` 2.164e+01 1.939e+01
## `prdl.my.descr.fctriPad 3+#1` -1.733e+01 1.720e+02
## `prdl.my.descr.fctriPadAir#0` 1.211e+02 1.949e+01
## `prdl.my.descr.fctriPadAir#1` 3.744e+01 1.712e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.371e+01 2.061e+01
## `prdl.my.descr.fctriPadmini 2+#1` 1.824e+01 1.733e+02
## `prdl.my.descr.fctriPadmini#0` 4.675e+00 1.937e+01
## `prdl.my.descr.fctriPadmini#1` -2.823e+01 1.730e+02
## `condition.fctrFor parts or not working` -5.420e+01 1.330e+01
## `condition.fctrManufacturer refurbished` -1.231e+01 2.497e+01
## condition.fctrNew 6.361e+01 1.246e+01
## `condition.fctrNew other (see details)` 6.235e+01 1.772e+01
## `condition.fctrSeller refurbished` -2.583e+01 1.790e+01
## D.ratio.nstopwrds.nwrds -5.473e+01 2.342e+02
## D.TfIdf.sum.stem.stop.Ratio 2.910e+02 4.328e+02
## color.fctrGold -6.218e+00 2.314e+01
## `color.fctrSpace Gray` 1.518e+01 1.291e+01
## color.fctrUnknown -5.808e+00 8.807e+00
## color.fctrWhite 1.916e+01 9.788e+00
## carrier.fctrNone 1.447e+01 3.061e+02
## carrier.fctrOther 9.869e+01 6.193e+01
## carrier.fctrSprint -3.896e+01 2.856e+01
## `carrier.fctrT-Mobile` 9.400e+00 3.475e+01
## carrier.fctrUnknown 1.574e+01 1.718e+01
## carrier.fctrVerizon 3.927e+00 1.534e+01
## .rnorm -4.725e-01 3.111e+00
## storage.fctr16 -1.388e+02 2.052e+01
## storage.fctr32 -1.312e+02 2.144e+01
## storage.fctr64 -9.106e+01 2.112e+01
## storage.fctrUnknown -1.025e+02 2.804e+01
## D.npnct14.log 7.432e+00 4.098e+01
## cellular.fctr1 1.254e+01 3.061e+02
## cellular.fctrUnknown -2.705e+01 3.064e+02
## D.terms.n.stem.stop.Ratio -1.187e+02 5.401e+02
## D.ndgts.log 4.378e+00 2.005e+01
## idseq.my -1.411e-02 7.891e-03
## D.npnct08.log 1.275e+01 2.487e+01
## D.npnct05.log -5.882e+01 8.406e+01
## D.npnct15.log -1.960e+01 3.452e+01
## D.npnct01.log 3.033e+01 2.516e+01
## D.npnct16.log 1.928e+01 6.886e+01
## D.npnct12.log -8.239e-01 2.594e+01
## D.npnct06.log 5.589e+01 7.993e+01
## D.npnct03.log -7.567e+00 5.622e+01
## D.nstopwrds.log -4.676e+01 6.930e+01
## D.npnct11.log -2.219e+01 1.426e+01
## D.npnct13.log -8.914e+00 1.421e+01
## D.terms.n.post.stop -2.490e+01 6.879e+01
## D.terms.n.post.stem 1.784e+01 6.992e+01
## D.nwrds.log 2.054e+02 8.984e+01
## D.terms.n.post.stop.log 6.744e+01 4.498e+02
## D.nwrds.unq.log -2.668e+01 4.736e+02
## D.terms.n.post.stem.log -2.668e+01 4.736e+02
## D.nchrs.log -3.884e+02 1.669e+02
## D.nuppr.log 3.188e+02 1.467e+02
## D.TfIdf.sum.post.stem -1.053e+01 3.968e+02
## D.sum.TfIdf -1.053e+01 3.968e+02
## D.npnct24.log -5.748e+01 2.915e+02
## D.TfIdf.sum.post.stop 2.059e+01 6.543e+01
## D.ratio.sum.TfIdf.nwrds -1.192e+01 1.778e+01
## biddable -1.401e+02 7.852e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.324e+01 4.420e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.019e+01 3.351e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.257e+00 3.145e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.828e+01 3.314e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 3.268e+00 2.863e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 2.696e+01 4.521e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.047e+01 4.656e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.065e+01 4.953e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.852e+01 4.401e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 1.932e+00 4.560e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -3.976e+01 4.431e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -6.661e+01 4.543e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.743e+01 9.689e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.453e+01 4.716e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.328e+02 4.690e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.567e+01 4.151e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.615e+00 3.386e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.499e+01 7.396e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.276e+01 5.148e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.334e+00 4.105e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.703e+01 4.417e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.604e+01 3.925e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.013e+01 3.581e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.589e+01 7.455e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.537e+01 4.590e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.218e+01 4.676e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -3.900e+00 4.789e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -6.096e+00 4.330e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000e+00 6.838e+02
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 1.885e+01 6.367e+01
## t value Pr(>|t|)
## (Intercept) 0.275 0.783577
## `prdl.my.descr.fctrUnknown#1` 0.283 0.777039
## `prdl.my.descr.fctriPad 1#0` -2.608 0.009287 **
## `prdl.my.descr.fctriPad 1#1` -0.512 0.609100
## `prdl.my.descr.fctriPad 2#0` -0.650 0.515952
## `prdl.my.descr.fctriPad 2#1` -0.271 0.786570
## `prdl.my.descr.fctriPad 3+#0` 1.116 0.264765
## `prdl.my.descr.fctriPad 3+#1` -0.101 0.919767
## `prdl.my.descr.fctriPadAir#0` 6.211 8.96e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.219 0.826990
## `prdl.my.descr.fctriPadmini 2+#0` 2.607 0.009338 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.105 0.916235
## `prdl.my.descr.fctriPadmini#0` 0.241 0.809351
## `prdl.my.descr.fctriPadmini#1` -0.163 0.870437
## `condition.fctrFor parts or not working` -4.076 5.11e-05 ***
## `condition.fctrManufacturer refurbished` -0.493 0.622269
## condition.fctrNew 5.104 4.27e-07 ***
## `condition.fctrNew other (see details)` 3.519 0.000461 ***
## `condition.fctrSeller refurbished` -1.443 0.149512
## D.ratio.nstopwrds.nwrds -0.234 0.815281
## D.TfIdf.sum.stem.stop.Ratio 0.672 0.501497
## color.fctrGold -0.269 0.788267
## `color.fctrSpace Gray` 1.176 0.239839
## color.fctrUnknown -0.660 0.509773
## color.fctrWhite 1.957 0.050697 .
## carrier.fctrNone 0.047 0.962305
## carrier.fctrOther 1.593 0.111502
## carrier.fctrSprint -1.364 0.172984
## `carrier.fctrT-Mobile` 0.271 0.786826
## carrier.fctrUnknown 0.916 0.359869
## carrier.fctrVerizon 0.256 0.798039
## .rnorm -0.152 0.879323
## storage.fctr16 -6.764 2.81e-11 ***
## storage.fctr32 -6.120 1.55e-09 ***
## storage.fctr64 -4.311 1.85e-05 ***
## storage.fctrUnknown -3.656 0.000275 ***
## D.npnct14.log 0.181 0.856123
## cellular.fctr1 0.041 0.967322
## cellular.fctrUnknown -0.088 0.929657
## D.terms.n.stem.stop.Ratio -0.220 0.826123
## D.ndgts.log 0.218 0.827234
## idseq.my -1.788 0.074279 .
## D.npnct08.log 0.513 0.608317
## D.npnct05.log -0.700 0.484303
## D.npnct15.log -0.568 0.570236
## D.npnct01.log 1.205 0.228454
## D.npnct16.log 0.280 0.779541
## D.npnct12.log -0.032 0.974670
## D.npnct06.log 0.699 0.484615
## D.npnct03.log -0.135 0.892963
## D.nstopwrds.log -0.675 0.500096
## D.npnct11.log -1.556 0.120050
## D.npnct13.log -0.627 0.530714
## D.terms.n.post.stop -0.362 0.717477
## D.terms.n.post.stem 0.255 0.798719
## D.nwrds.log 2.286 0.022560 *
## D.terms.n.post.stop.log 0.150 0.880865
## D.nwrds.unq.log -0.056 0.955080
## D.terms.n.post.stem.log -0.056 0.955080
## D.nchrs.log -2.326 0.020280 *
## D.nuppr.log 2.174 0.030032 *
## D.TfIdf.sum.post.stem -0.027 0.978831
## D.sum.TfIdf -0.027 0.978831
## D.npnct24.log -0.197 0.843754
## D.TfIdf.sum.post.stop 0.315 0.753105
## D.ratio.sum.TfIdf.nwrds -0.671 0.502696
## biddable -17.848 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.526 0.599290
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.304 0.761114
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.072 0.942822
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.552 0.581340
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.114 0.909157
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.596 0.551135
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.440 0.660337
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.215 0.829823
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.648 0.517240
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.042 0.966216
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.897 0.369822
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.466 0.143037
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.593 0.553527
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.308 0.758158
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.831 0.004765 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.618 0.536536
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.284 0.776543
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.014 0.310914
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.608 0.108383
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.081 0.935289
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.612 0.540731
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.663 0.507300
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.562 0.574169
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.616 0.538376
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.771 0.441146
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.261 0.794495
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.081 0.935121
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.141 0.888094
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.296 0.767275
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 7878.158)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 5585614 on 709 degrees of freedom
## AIC: 10294
##
## Number of Fisher Scoring iterations: 10
##
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.X.Train.bayesglm bayesglm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 3.718 0.692
## max.R.sq.fit min.RMSE.fit min.aic.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.6217894 91.62821 10294.32 0.5156085 3.114391
## max.RsquaredSD.fit
## 1 0.07412579## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1704 Unknown#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1234 iPadAir#0 1 1 Fit
## 438 iPadAir#0 1 1 Fit
## 398 iPadAir#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 1234 291.2836 292.6160
## 438 290.5352 291.4525
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1704 346.9215 243.0785
## 1358 335.8169 259.1831
## 1234 291.6260 292.6160
## 438 290.4525 291.4525
## 398 278.3775 279.3675
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1704 346.9215 198.8825
## 1358 335.8169 198.8825
## 1234 291.6260 237.2502
## 438 290.4525 237.2502
## 398 278.3775 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1704 391.1175
## 1358 396.1175
## 1234 236.2602
## 438 236.2502
## 398 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1704 202.5649
## 1358 202.5649
## 1234 235.7130
## 438 235.7130
## 398 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1704 387.4351
## 1358 392.4351
## 1234 234.7230
## 438 234.7130
## 398 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1704 330.3139
## 1358 229.2466
## 1234 252.3681
## 438 211.4389
## 398 244.9048
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1704 259.6861
## 1358 365.7534
## 1234 251.3781
## 438 210.4389
## 398 243.9148
## 1299 247.8758
## startprice.predict.Max.cor.Y.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 224.4749
## 438 224.4749
## 398 224.4749
## 1299 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 223.4849
## 438 223.4749
## 398 223.4849
## 1299 425.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.no.rnorm.Train.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.Train.lm
## 1704 240.2116
## 1358 258.9626
## 1234 288.5288
## 438 293.9401
## 398 277.5331
## 1299 382.2122
## startprice.predict.Low.cor.X.Train.lm.err
## 1704 349.7884
## 1358 336.0374
## 1234 287.5388
## 438 292.9401
## 398 276.5431
## 1299 267.7878
## startprice.predict.All.X.Train.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.Train.bayesglm.err
## 1704 346.5888
## 1358 336.1528
## 1234 291.2836
## 438 290.5352
## 398 278.7165
## 1299 267.1893## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1207 11207
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1207 #6428
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1207 0 124.95 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 2623 6.907745
## 1396 6.906755
## 1207 4.827914
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1207 #6428
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1207 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1207 16 1 0.6931472
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1207 11.375583 1 0.6931472
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1207 11.375583 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1207 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1207 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1207 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1207 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1207 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1207 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1207 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1207 0 0 0 0 0.6931472 0.6931472
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1207 11.375583 11.3755825 1.791759 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1207 1.609438 0 0.6931472 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1207 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1207 0 0.0000000 0.6931472 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1207 0.5000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1207 iPad 1 iPad 1#1 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1207 -71.34341
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1207 196.2934
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 1207 150.82320
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1207 25.8732
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1207 234.49168
## 1418 75.03309
## 1286 234.49168
## 2632 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1207 109.5417
## 1418 624.9669
## 1286 305.5083
## 2632 465.5083
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1207 138.38382
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.10075
## 1396 793.24785
## 1207 13.43382
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1207 -186.6562
## 1418 55.4960
## 1286 166.2236
## 2632 173.1584
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1207 311.6062
## 1418 644.5040
## 1286 373.7764
## 2632 526.8416
## startprice.predict.All.X.Train.bayesglm
## 2623 180.269772
## 1396 196.893923
## 1207 -602.876192
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1207 727.8262
## 1418 644.9620
## 1286 531.3591
## 2632 524.6195
## [1] "fitting model: All.X.Train.lm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -291.63 -44.49 0.41 46.14 346.92
##
## Coefficients: (59 not defined because of singularities)
## Estimate Std. Error
## (Intercept) -5.993e+04 1.363e+05
## `prdl.my.descr.fctrUnknown#1` 3.290e+01 1.544e+02
## `prdl.my.descr.fctriPad 1#0` -5.303e+01 1.971e+01
## `prdl.my.descr.fctriPad 1#1` -1.032e+02 1.535e+02
## `prdl.my.descr.fctriPad 2#0` -1.259e+01 1.909e+01
## `prdl.my.descr.fctriPad 2#1` -6.269e+01 1.551e+02
## `prdl.my.descr.fctriPad 3+#0` 2.188e+01 1.871e+01
## `prdl.my.descr.fctriPad 3+#1` -3.565e+01 1.555e+02
## `prdl.my.descr.fctriPadAir#0` 1.213e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 2.165e+01 1.526e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.410e+01 1.988e+01
## `prdl.my.descr.fctriPadmini 2+#1` 4.504e-01 1.565e+02
## `prdl.my.descr.fctriPadmini#0` 4.880e+00 1.869e+01
## `prdl.my.descr.fctriPadmini#1` -4.252e+01 1.574e+02
## `condition.fctrFor parts or not working` -5.375e+01 1.285e+01
## `condition.fctrManufacturer refurbished` -1.217e+01 2.403e+01
## condition.fctrNew 6.388e+01 1.198e+01
## `condition.fctrNew other (see details)` 6.347e+01 1.707e+01
## `condition.fctrSeller refurbished` -2.591e+01 1.753e+01
## D.ratio.nstopwrds.nwrds -7.689e+01 2.618e+02
## D.TfIdf.sum.stem.stop.Ratio 6.168e+02 6.045e+02
## color.fctrGold -6.379e+00 2.231e+01
## `color.fctrSpace Gray` 1.466e+01 1.243e+01
## color.fctrUnknown -5.324e+00 8.484e+00
## color.fctrWhite 1.902e+01 9.417e+00
## carrier.fctrNone 4.075e+01 2.379e+01
## carrier.fctrOther 9.957e+01 6.033e+01
## carrier.fctrSprint -3.880e+01 2.751e+01
## `carrier.fctrT-Mobile` 1.057e+01 3.354e+01
## carrier.fctrUnknown 1.544e+01 1.654e+01
## carrier.fctrVerizon 4.110e+00 1.477e+01
## .rnorm -4.793e-01 3.000e+00
## storage.fctr16 -1.395e+02 1.979e+01
## storage.fctr32 -1.320e+02 2.069e+01
## storage.fctr64 -9.183e+01 2.037e+01
## storage.fctrUnknown -1.033e+02 2.703e+01
## D.npnct14.log 7.231e+00 4.003e+01
## cellular.fctr1 3.912e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 5.970e+04 1.363e+05
## D.ndgts.log 5.848e+00 1.984e+01
## idseq.my -1.462e-02 7.611e-03
## D.npnct08.log 1.497e+01 2.400e+01
## D.npnct05.log -5.673e+01 8.282e+01
## D.npnct15.log -1.754e+01 3.340e+01
## D.npnct01.log 3.410e+01 2.483e+01
## D.npnct16.log 2.104e+01 6.800e+01
## D.npnct12.log 3.814e-01 2.525e+01
## D.npnct06.log 5.979e+01 7.931e+01
## D.npnct03.log -7.252e+00 5.489e+01
## D.nstopwrds.log -4.443e+01 7.585e+01
## D.npnct11.log -2.024e+01 1.386e+01
## D.npnct13.log -5.830e+00 1.395e+01
## D.terms.n.post.stop -4.255e+02 8.355e+02
## D.terms.n.post.stem 4.185e+02 8.367e+02
## D.nwrds.log 2.208e+02 9.182e+01
## D.terms.n.post.stop.log 6.707e+04 1.518e+05
## D.nwrds.unq.log -6.706e+04 1.518e+05
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -4.567e+02 1.770e+02
## D.nuppr.log 3.756e+02 1.548e+02
## D.TfIdf.sum.post.stem -7.016e+01 9.363e+01
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 6.807e+01 8.973e+01
## D.ratio.sum.TfIdf.nwrds -1.293e+01 1.797e+01
## biddable -1.402e+02 7.548e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.505e+01 4.333e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.216e+01 3.245e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.233e+00 3.042e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.623e+01 3.214e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.737e+00 2.786e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 3.041e+01 4.415e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.480e+01 4.528e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.018e+01 4.802e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.688e+01 4.287e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 6.785e-01 4.409e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.090e+01 4.462e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -7.068e+01 4.412e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.996e+01 9.514e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.492e+01 4.579e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.342e+02 4.538e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.385e+01 4.021e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.362e+00 3.275e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.603e+01 7.297e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.535e+01 4.979e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.586e+00 4.032e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.612e+01 4.274e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.606e+01 3.800e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.061e+01 3.479e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.219e+01 7.276e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.756e+01 4.464e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.580e+01 4.538e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -1.061e+00 4.656e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -8.067e+00 4.208e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.426e+01 6.251e+01
## t value Pr(>|t|)
## (Intercept) -0.440 0.660229
## `prdl.my.descr.fctrUnknown#1` 0.213 0.831351
## `prdl.my.descr.fctriPad 1#0` -2.690 0.007301 **
## `prdl.my.descr.fctriPad 1#1` -0.672 0.501535
## `prdl.my.descr.fctriPad 2#0` -0.660 0.509684
## `prdl.my.descr.fctriPad 2#1` -0.404 0.686104
## `prdl.my.descr.fctriPad 3+#0` 1.170 0.242511
## `prdl.my.descr.fctriPad 3+#1` -0.229 0.818760
## `prdl.my.descr.fctriPadAir#0` 6.449 1.99e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.142 0.887187
## `prdl.my.descr.fctriPadmini 2+#0` 2.722 0.006644 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.003 0.997705
## `prdl.my.descr.fctriPadmini#0` 0.261 0.794046
## `prdl.my.descr.fctriPadmini#1` -0.270 0.787065
## `condition.fctrFor parts or not working` -4.183 3.21e-05 ***
## `condition.fctrManufacturer refurbished` -0.507 0.612633
## condition.fctrNew 5.332 1.28e-07 ***
## `condition.fctrNew other (see details)` 3.717 0.000216 ***
## `condition.fctrSeller refurbished` -1.478 0.139851
## D.ratio.nstopwrds.nwrds -0.294 0.769048
## D.TfIdf.sum.stem.stop.Ratio 1.020 0.307827
## color.fctrGold -0.286 0.775009
## `color.fctrSpace Gray` 1.180 0.238524
## color.fctrUnknown -0.628 0.530445
## color.fctrWhite 2.020 0.043778 *
## carrier.fctrNone 1.713 0.087153 .
## carrier.fctrOther 1.650 0.099291 .
## carrier.fctrSprint -1.410 0.158857
## `carrier.fctrT-Mobile` 0.315 0.752635
## carrier.fctrUnknown 0.934 0.350803
## carrier.fctrVerizon 0.278 0.780873
## .rnorm -0.160 0.873083
## storage.fctr16 -7.050 4.00e-12 ***
## storage.fctr32 -6.382 3.03e-10 ***
## storage.fctr64 -4.508 7.55e-06 ***
## storage.fctrUnknown -3.822 0.000143 ***
## D.npnct14.log 0.181 0.856712
## cellular.fctr1 1.808 0.071075 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 0.438 0.661474
## D.ndgts.log 0.295 0.768269
## idseq.my -1.921 0.055049 .
## D.npnct08.log 0.624 0.533111
## D.npnct05.log -0.685 0.493548
## D.npnct15.log -0.525 0.599728
## D.npnct01.log 1.373 0.170024
## D.npnct16.log 0.309 0.757150
## D.npnct12.log 0.015 0.987951
## D.npnct06.log 0.754 0.451125
## D.npnct03.log -0.132 0.894920
## D.nstopwrds.log -0.586 0.558219
## D.npnct11.log -1.461 0.144496
## D.npnct13.log -0.418 0.676186
## D.terms.n.post.stop -0.509 0.610736
## D.terms.n.post.stem 0.500 0.617067
## D.nwrds.log 2.404 0.016431 *
## D.terms.n.post.stop.log 0.442 0.658799
## D.nwrds.unq.log -0.442 0.658864
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -2.580 0.010070 *
## D.nuppr.log 2.426 0.015483 *
## D.TfIdf.sum.post.stem -0.749 0.453927
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 0.759 0.448308
## D.ratio.sum.TfIdf.nwrds -0.720 0.471854
## biddable -18.576 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.578 0.563292
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.375 0.708034
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.073 0.941493
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.505 0.613739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.098 0.921765
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.689 0.491231
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.548 0.584019
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.212 0.832191
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.627 0.530820
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.015 0.987725
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.917 0.359672
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.602 0.109558
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.630 0.528732
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.326 0.744658
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.957 0.003201 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.593 0.553341
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.286 0.775060
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.042 0.297761
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.714 0.086899 .
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.089 0.929152
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.611 0.541303
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.686 0.492956
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.592 0.553748
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.580 0.562252
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.841 0.400432
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.348 0.727779
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.023 0.981827
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.192 0.848024
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.388 0.698007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 85.24 on 768 degrees of freedom
## Multiple R-squared: 0.6222, Adjusted R-squared: 0.5774
## F-statistic: 13.9 on 91 and 768 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading## model_id model_method
## 1 All.X.Train.lm lm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.468 0.073
## max.R.sq.fit min.RMSE.fit max.Adj.R.sq.fit max.Rsquared.fit
## 1 0.6221691 92.08259 0.5774001 0.5119701
## min.RMSESD.fit max.RsquaredSD.fit
## 1 3.024083 0.07265279## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1704 Unknown#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1234 iPadAir#0 1 1 Fit
## 438 iPadAir#0 1 1 Fit
## 398 iPadAir#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 1234 291.2836 292.6160
## 438 290.5352 291.4525
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1704 346.9215 243.0785
## 1358 335.8169 259.1831
## 1234 291.6260 292.6160
## 438 290.4525 291.4525
## 398 278.3775 279.3675
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1704 346.9215 198.8825
## 1358 335.8169 198.8825
## 1234 291.6260 237.2502
## 438 290.4525 237.2502
## 398 278.3775 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1704 391.1175
## 1358 396.1175
## 1234 236.2602
## 438 236.2502
## 398 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1704 202.5649
## 1358 202.5649
## 1234 235.7130
## 438 235.7130
## 398 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1704 387.4351
## 1358 392.4351
## 1234 234.7230
## 438 234.7130
## 398 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1704 330.3139
## 1358 229.2466
## 1234 252.3681
## 438 211.4389
## 398 244.9048
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1704 259.6861
## 1358 365.7534
## 1234 251.3781
## 438 210.4389
## 398 243.9148
## 1299 247.8758
## startprice.predict.Max.cor.Y.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 224.4749
## 438 224.4749
## 398 224.4749
## 1299 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 223.4849
## 438 223.4749
## 398 223.4849
## 1299 425.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.no.rnorm.Train.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.Train.lm
## 1704 240.2116
## 1358 258.9626
## 1234 288.5288
## 438 293.9401
## 398 277.5331
## 1299 382.2122
## startprice.predict.Low.cor.X.Train.lm.err
## 1704 349.7884
## 1358 336.0374
## 1234 287.5388
## 438 292.9401
## 398 276.5431
## 1299 267.7878
## startprice.predict.All.X.Train.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.Train.bayesglm.err
## 1704 346.5888
## 1358 336.1528
## 1234 291.2836
## 438 290.5352
## 398 278.7165
## 1299 267.1893
## startprice.predict.All.X.Train.lm
## 1704 243.0785
## 1358 259.1831
## 1234 292.6160
## 438 291.4525
## 398 279.3675
## 1299 383.0273
## startprice.predict.All.X.Train.lm.err
## 1704 346.9215
## 1358 335.8169
## 1234 291.6260
## 438 290.4525
## 398 278.3775
## 1299 266.9727## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 1207 11207
## 2623 12625
## 1396 11397
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 1207 0 124.95 Used 0 None Unknown
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 1207 4.827914
## 2623 6.907745
## 1396 6.906755
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1207 Used 0 None Unknown
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1207 16 1 0.6931472
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1207 11.375583 1 0.6931472
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1207 11.375583 1
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1207 1.0000000 0.0000000 0 0 0
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1207 0 0 0 0 0 0.000000
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 1207 0 0 0 0 0.0000000 0
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 1207 0 0 0 0 0.6931472 0.6931472
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1207 11.375583 11.3755825 1.791759 0.000000
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 1207 1.609438 0 0.6931472 0 0.0000000
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 1207 0 0.0000000 0 0.000000 0
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 1207 0 0.0000000 0.6931472 0.0000000
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 1207 0.5000000 0 0 0 0
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1207 iPad 1 iPad 1#1 1 1
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.Train.glmnet
## 1207 -71.34341
## 2623 87.22845
## 1396 252.56135
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1207 196.2934
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.no.rnorm.Train.rf
## 1207 150.82320
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1207 25.8732
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1207 234.49168
## 2623 234.49168
## 1396 234.49168
## 1418 75.03309
## 1286 234.49168
## 2632 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1207 109.5417
## 2623 765.4983
## 1396 764.5083
## 1418 624.9669
## 1286 305.5083
## 2632 465.5083
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1207 138.38382
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1207 13.43382
## 2623 861.10075
## 1396 793.24785
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.Train.lm
## 1207 -186.6562
## 2623 178.2272
## 1396 196.5086
## 1418 55.4960
## 1286 166.2236
## 2632 173.1584
## startprice.predict.Low.cor.X.Train.lm.err
## 1207 311.6062
## 2623 821.7628
## 1396 802.4914
## 1418 644.5040
## 1286 373.7764
## 2632 526.8416
## startprice.predict.All.X.Train.bayesglm
## 1207 -602.876192
## 2623 180.269772
## 1396 196.893923
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.Train.bayesglm.err
## 1207 727.8262
## 2623 819.7202
## 1396 802.1061
## 1418 644.9620
## 1286 531.3591
## 2632 524.6195
## startprice.predict.All.X.Train.lm
## 1207 -710.10001
## 2623 194.65243
## 1396 196.67298
## 1418 55.00877
## 1286 -19.21654
## 2632 171.90210
## startprice.predict.All.X.Train.lm.err
## 1207 835.0500
## 2623 805.3376
## 1396 802.3270
## 1418 644.9912
## 1286 559.2165
## 2632 528.0979
## [1] "fitting model: All.X.Train.glm"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set## Warning: not plotting observations with leverage one:
## 355
## Warning: not plotting observations with leverage one:
## 355
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -291.63 -44.49 0.41 46.14 346.92
##
## Coefficients: (59 not defined because of singularities)
## Estimate Std. Error
## (Intercept) -5.993e+04 1.363e+05
## `prdl.my.descr.fctrUnknown#1` 3.290e+01 1.544e+02
## `prdl.my.descr.fctriPad 1#0` -5.303e+01 1.971e+01
## `prdl.my.descr.fctriPad 1#1` -1.032e+02 1.535e+02
## `prdl.my.descr.fctriPad 2#0` -1.259e+01 1.909e+01
## `prdl.my.descr.fctriPad 2#1` -6.269e+01 1.551e+02
## `prdl.my.descr.fctriPad 3+#0` 2.188e+01 1.871e+01
## `prdl.my.descr.fctriPad 3+#1` -3.565e+01 1.555e+02
## `prdl.my.descr.fctriPadAir#0` 1.213e+02 1.881e+01
## `prdl.my.descr.fctriPadAir#1` 2.165e+01 1.526e+02
## `prdl.my.descr.fctriPadmini 2+#0` 5.410e+01 1.988e+01
## `prdl.my.descr.fctriPadmini 2+#1` 4.504e-01 1.565e+02
## `prdl.my.descr.fctriPadmini#0` 4.880e+00 1.869e+01
## `prdl.my.descr.fctriPadmini#1` -4.252e+01 1.574e+02
## `condition.fctrFor parts or not working` -5.375e+01 1.285e+01
## `condition.fctrManufacturer refurbished` -1.217e+01 2.403e+01
## condition.fctrNew 6.388e+01 1.198e+01
## `condition.fctrNew other (see details)` 6.347e+01 1.707e+01
## `condition.fctrSeller refurbished` -2.591e+01 1.753e+01
## D.ratio.nstopwrds.nwrds -7.689e+01 2.618e+02
## D.TfIdf.sum.stem.stop.Ratio 6.168e+02 6.045e+02
## color.fctrGold -6.379e+00 2.231e+01
## `color.fctrSpace Gray` 1.466e+01 1.243e+01
## color.fctrUnknown -5.324e+00 8.484e+00
## color.fctrWhite 1.902e+01 9.417e+00
## carrier.fctrNone 4.075e+01 2.379e+01
## carrier.fctrOther 9.957e+01 6.033e+01
## carrier.fctrSprint -3.880e+01 2.751e+01
## `carrier.fctrT-Mobile` 1.057e+01 3.354e+01
## carrier.fctrUnknown 1.544e+01 1.654e+01
## carrier.fctrVerizon 4.110e+00 1.477e+01
## .rnorm -4.793e-01 3.000e+00
## storage.fctr16 -1.395e+02 1.979e+01
## storage.fctr32 -1.320e+02 2.069e+01
## storage.fctr64 -9.183e+01 2.037e+01
## storage.fctrUnknown -1.033e+02 2.703e+01
## D.npnct14.log 7.231e+00 4.003e+01
## cellular.fctr1 3.912e+01 2.164e+01
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 5.970e+04 1.363e+05
## D.ndgts.log 5.848e+00 1.984e+01
## idseq.my -1.462e-02 7.611e-03
## D.npnct08.log 1.497e+01 2.400e+01
## D.npnct05.log -5.673e+01 8.282e+01
## D.npnct15.log -1.754e+01 3.340e+01
## D.npnct01.log 3.410e+01 2.483e+01
## D.npnct16.log 2.104e+01 6.800e+01
## D.npnct12.log 3.814e-01 2.525e+01
## D.npnct06.log 5.979e+01 7.931e+01
## D.npnct03.log -7.252e+00 5.489e+01
## D.nstopwrds.log -4.443e+01 7.585e+01
## D.npnct11.log -2.024e+01 1.386e+01
## D.npnct13.log -5.830e+00 1.395e+01
## D.terms.n.post.stop -4.255e+02 8.355e+02
## D.terms.n.post.stem 4.185e+02 8.367e+02
## D.nwrds.log 2.208e+02 9.182e+01
## D.terms.n.post.stop.log 6.707e+04 1.518e+05
## D.nwrds.unq.log -6.706e+04 1.518e+05
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -4.567e+02 1.770e+02
## D.nuppr.log 3.756e+02 1.548e+02
## D.TfIdf.sum.post.stem -7.016e+01 9.363e+01
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 6.807e+01 8.973e+01
## D.ratio.sum.TfIdf.nwrds -1.293e+01 1.797e+01
## biddable -1.402e+02 7.548e+00
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -2.505e+01 4.333e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -1.216e+01 3.245e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 2.233e+00 3.042e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -1.623e+01 3.214e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 2.737e+00 2.786e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 3.041e+01 4.415e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -2.480e+01 4.528e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -1.018e+01 4.802e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 2.688e+01 4.287e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 6.785e-01 4.409e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -4.090e+01 4.462e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -7.068e+01 4.412e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 5.996e+01 9.514e+01
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -1.492e+01 4.579e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.342e+02 4.538e+01
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 2.385e+01 4.021e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 9.362e+00 3.275e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -7.603e+01 7.297e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -8.535e+01 4.979e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 3.586e+00 4.032e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 2.612e+01 4.274e+01
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -2.606e+01 3.800e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 2.061e+01 3.479e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 4.219e+01 7.276e+01
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -3.756e+01 4.464e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -1.580e+01 4.538e+01
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -1.061e+00 4.656e+01
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -8.067e+00 4.208e+01
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 2.426e+01 6.251e+01
## t value Pr(>|t|)
## (Intercept) -0.440 0.660229
## `prdl.my.descr.fctrUnknown#1` 0.213 0.831351
## `prdl.my.descr.fctriPad 1#0` -2.690 0.007301 **
## `prdl.my.descr.fctriPad 1#1` -0.672 0.501535
## `prdl.my.descr.fctriPad 2#0` -0.660 0.509684
## `prdl.my.descr.fctriPad 2#1` -0.404 0.686104
## `prdl.my.descr.fctriPad 3+#0` 1.170 0.242511
## `prdl.my.descr.fctriPad 3+#1` -0.229 0.818760
## `prdl.my.descr.fctriPadAir#0` 6.449 1.99e-10 ***
## `prdl.my.descr.fctriPadAir#1` 0.142 0.887187
## `prdl.my.descr.fctriPadmini 2+#0` 2.722 0.006644 **
## `prdl.my.descr.fctriPadmini 2+#1` 0.003 0.997705
## `prdl.my.descr.fctriPadmini#0` 0.261 0.794046
## `prdl.my.descr.fctriPadmini#1` -0.270 0.787065
## `condition.fctrFor parts or not working` -4.183 3.21e-05 ***
## `condition.fctrManufacturer refurbished` -0.507 0.612633
## condition.fctrNew 5.332 1.28e-07 ***
## `condition.fctrNew other (see details)` 3.717 0.000216 ***
## `condition.fctrSeller refurbished` -1.478 0.139851
## D.ratio.nstopwrds.nwrds -0.294 0.769048
## D.TfIdf.sum.stem.stop.Ratio 1.020 0.307827
## color.fctrGold -0.286 0.775009
## `color.fctrSpace Gray` 1.180 0.238524
## color.fctrUnknown -0.628 0.530445
## color.fctrWhite 2.020 0.043778 *
## carrier.fctrNone 1.713 0.087153 .
## carrier.fctrOther 1.650 0.099291 .
## carrier.fctrSprint -1.410 0.158857
## `carrier.fctrT-Mobile` 0.315 0.752635
## carrier.fctrUnknown 0.934 0.350803
## carrier.fctrVerizon 0.278 0.780873
## .rnorm -0.160 0.873083
## storage.fctr16 -7.050 4.00e-12 ***
## storage.fctr32 -6.382 3.03e-10 ***
## storage.fctr64 -4.508 7.55e-06 ***
## storage.fctrUnknown -3.822 0.000143 ***
## D.npnct14.log 0.181 0.856712
## cellular.fctr1 1.808 0.071075 .
## cellular.fctrUnknown NA NA
## D.terms.n.stem.stop.Ratio 0.438 0.661474
## D.ndgts.log 0.295 0.768269
## idseq.my -1.921 0.055049 .
## D.npnct08.log 0.624 0.533111
## D.npnct05.log -0.685 0.493548
## D.npnct15.log -0.525 0.599728
## D.npnct01.log 1.373 0.170024
## D.npnct16.log 0.309 0.757150
## D.npnct12.log 0.015 0.987951
## D.npnct06.log 0.754 0.451125
## D.npnct03.log -0.132 0.894920
## D.nstopwrds.log -0.586 0.558219
## D.npnct11.log -1.461 0.144496
## D.npnct13.log -0.418 0.676186
## D.terms.n.post.stop -0.509 0.610736
## D.terms.n.post.stem 0.500 0.617067
## D.nwrds.log 2.404 0.016431 *
## D.terms.n.post.stop.log 0.442 0.658799
## D.nwrds.unq.log -0.442 0.658864
## D.terms.n.post.stem.log NA NA
## D.nchrs.log -2.580 0.010070 *
## D.nuppr.log 2.426 0.015483 *
## D.TfIdf.sum.post.stem -0.749 0.453927
## D.sum.TfIdf NA NA
## D.npnct24.log NA NA
## D.TfIdf.sum.post.stop 0.759 0.448308
## D.ratio.sum.TfIdf.nwrds -0.720 0.471854
## biddable -18.576 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -0.578 0.563292
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.375 0.708034
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.073 0.941493
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.505 0.613739
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.098 0.921765
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.689 0.491231
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` -0.548 0.584019
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.212 0.832191
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.627 0.530820
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.015 0.987725
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -0.917 0.359672
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` -1.602 0.109558
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.630 0.528732
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` -0.326 0.744658
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -2.957 0.003201 **
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.593 0.553341
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.286 0.775060
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -1.042 0.297761
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -1.714 0.086899 .
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.089 0.929152
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.611 0.541303
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -0.686 0.492956
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.592 0.553748
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.580 0.562252
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` -0.841 0.400432
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.348 0.727779
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` -0.023 0.981827
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` -0.192 0.848024
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` NA NA
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.388 0.698007
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 7265.634)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 5580007 on 768 degrees of freedom
## AIC: 10175
##
## Number of Fisher Scoring iterations: 2
##
## [1] " calling mypredict_mdl for fit:"## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading## model_id model_method
## 1 All.X.Train.glm glm
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, .rnorm, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.819 0.103
## max.R.sq.fit min.RMSE.fit min.aic.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.6221691 92.08259 10175.45 0.5119701 3.024083
## max.RsquaredSD.fit
## 1 0.07265279## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading
## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.## UniqueID description biddable startprice condition
## 1704 11705 0 590.00 New
## 1358 11359 0 595.00 New
## 1234 11235 1 0.99 New other (see details)
## 438 10438 1 1.00 New
## 398 10398 1 0.99 New
## 1299 11300 1 650.00 New
## cellular carrier color storage productline .src .grpid
## 1704 Unknown Unknown White 16 Unknown Train <NA>
## 1358 Unknown Unknown Unknown Unknown Unknown Train <NA>
## 1234 1 Unknown Gold 64 iPad Air 2 Train <NA>
## 438 0 None Gold 64 iPad Air 2 Train <NA>
## 398 1 Unknown Space Gray 16 iPad Air 2 Train <NA>
## 1299 1 Unknown Gold 128 iPad Air 2 Train <NA>
## .rnorm idseq.my prdline.my startprice.log descr.my
## 1704 0.6120207 1705 Unknown 6.38012254
## 1358 2.2851702 1359 Unknown 6.38856141
## 1234 -0.6666041 1235 iPadAir -0.01005034
## 438 -1.8772574 438 iPadAir 0.00000000
## 398 -2.1820427 398 iPadAir -0.01005034
## 1299 1.1631209 1300 iPadAir 6.47697236
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1704 New Unknown Unknown White
## 1358 New Unknown Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 438 New 0 None Gold
## 398 New 1 Unknown Space Gray
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1704 16 0 0
## 1358 Unknown 0 0
## 1234 64 0 0
## 438 64 0 0
## 398 16 0 0
## 1299 128 0 0
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1704 0 0 0
## 1358 0 0 0
## 1234 0 0 0
## 438 0 0 0
## 398 0 0 0
## 1299 0 0 0
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1704 0 1
## 1358 0 1
## 1234 0 1
## 438 0 1
## 398 0 1
## 1299 0 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1704 1 0 0 0 0
## 1358 1 0 0 0 0
## 1234 1 0 0 0 0
## 438 1 0 0 0 0
## 398 1 0 0 0 0
## 1299 1 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal D.T.top
## 1704 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1234 0 0 0 0 0 0 0
## 438 0 0 0 0 0 0 0
## 398 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer D.T.problem
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1704 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 438 0 0 0 0 0 0
## 398 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1704 0 0 0 0
## 1358 0 0 0 0
## 1234 0 0 0 0
## 438 0 0 0 0
## 398 0 0 0 0
## 1299 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1704 0 0 0 0 0
## 1358 0 0 0 0 0
## 1234 0 0 0 0 0
## 438 0 0 0 0 0
## 398 0 0 0 0 0
## 1299 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1704 0 0 0 1
## 1358 0 0 0 1
## 1234 0 0 0 1
## 438 0 0 0 1
## 398 0 0 0 1
## 1299 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1704 0 0 0 0 Unknown
## 1358 0 0 0 0 Unknown
## 1234 0 0 0 0 iPadAir
## 438 0 0 0 0 iPadAir
## 398 0 0 0 0 iPadAir
## 1299 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1704 Unknown#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1234 iPadAir#0 1 1 Fit
## 438 iPadAir#0 1 1 Fit
## 398 iPadAir#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1704 241.5433 348.4567
## 1358 270.3419 324.6581
## 1234 285.9075 284.9175
## 438 305.9088 304.9088
## 398 270.6267 269.6367
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1704 224.5690
## 1358 224.5690
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1704 365.4310
## 1358 370.4310
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1704 240.2116 349.7884
## 1358 258.9626 336.0374
## 1234 288.5288 287.5388
## 438 293.9401 292.9401
## 398 277.5331 276.5431
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1704 346.5888 243.0785
## 1358 336.1528 259.1831
## 1234 291.2836 292.6160
## 438 290.5352 291.4525
## 398 278.7165 279.3675
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1704 346.9215 243.0785
## 1358 335.8169 259.1831
## 1234 291.6260 292.6160
## 438 290.4525 291.4525
## 398 278.3775 279.3675
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1704 346.9215 198.8825
## 1358 335.8169 198.8825
## 1234 291.6260 237.2502
## 438 290.4525 237.2502
## 398 278.3775 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1704 391.1175
## 1358 396.1175
## 1234 236.2602
## 438 236.2502
## 398 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1704 202.5649
## 1358 202.5649
## 1234 235.7130
## 438 235.7130
## 398 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1704 387.4351
## 1358 392.4351
## 1234 234.7230
## 438 234.7130
## 398 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1704 330.3139
## 1358 229.2466
## 1234 252.3681
## 438 211.4389
## 398 244.9048
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1704 259.6861
## 1358 365.7534
## 1234 251.3781
## 438 210.4389
## 398 243.9148
## 1299 247.8758
## startprice.predict.Max.cor.Y.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 224.4749
## 438 224.4749
## 398 224.4749
## 1299 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 223.4849
## 438 223.4749
## 398 223.4849
## 1299 425.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1704 245.8868
## 1358 233.6314
## 1234 263.4710
## 438 233.7865
## 398 243.1992
## 1299 353.6184
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1704 344.1132
## 1358 361.3686
## 1234 262.4810
## 438 232.7865
## 398 242.2092
## 1299 296.3816
## startprice.predict.All.X.no.rnorm.Train.rf
## 1704 400.9275
## 1358 329.7160
## 1234 160.2606
## 438 116.7367
## 398 160.6115
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1704 189.0725
## 1358 265.2840
## 1234 159.2706
## 438 115.7367
## 398 159.6215
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1704 234.4917
## 1358 234.4917
## 1234 221.8944
## 438 221.8944
## 398 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1704 355.5083
## 1358 360.5083
## 1234 220.9044
## 438 220.8944
## 398 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1704 401.5837
## 1358 342.0021
## 1234 142.8787
## 438 111.7434
## 398 152.0135
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1704 188.4163
## 1358 252.9979
## 1234 141.8887
## 438 110.7434
## 398 151.0235
## 1299 253.6246
## startprice.predict.Low.cor.X.Train.lm
## 1704 240.2116
## 1358 258.9626
## 1234 288.5288
## 438 293.9401
## 398 277.5331
## 1299 382.2122
## startprice.predict.Low.cor.X.Train.lm.err
## 1704 349.7884
## 1358 336.0374
## 1234 287.5388
## 438 292.9401
## 398 276.5431
## 1299 267.7878
## startprice.predict.All.X.Train.bayesglm
## 1704 243.4112
## 1358 258.8472
## 1234 292.2736
## 438 291.5352
## 398 279.7065
## 1299 382.8107
## startprice.predict.All.X.Train.bayesglm.err
## 1704 346.5888
## 1358 336.1528
## 1234 291.2836
## 438 290.5352
## 398 278.7165
## 1299 267.1893
## startprice.predict.All.X.Train.lm
## 1704 243.0785
## 1358 259.1831
## 1234 292.6160
## 438 291.4525
## 398 279.3675
## 1299 383.0273
## startprice.predict.All.X.Train.lm.err
## 1704 346.9215
## 1358 335.8169
## 1234 291.6260
## 438 290.4525
## 398 278.3775
## 1299 266.9727
## startprice.predict.All.X.Train.glm
## 1704 243.0785
## 1358 259.1831
## 1234 292.6160
## 438 291.4525
## 398 279.3675
## 1299 383.0273
## startprice.predict.All.X.Train.glm.err
## 1704 346.9215
## 1358 335.8169
## 1234 291.6260
## 438 290.4525
## 398 278.3775
## 1299 266.9727## Warning in predict.lm(object, newdata, se.fit, scale = 1, type =
## ifelse(type == : prediction from a rank-deficient fit may be misleading
## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 1207 11207
## 2623 12625
## 1396 11397
## 1418 11419
## 1286 11287
## 2632 12634
## description
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## biddable startprice condition cellular carrier color
## 1207 0 124.95 Used 0 None Unknown
## 2623 0 999.99 For parts or not working Unknown Unknown White
## 1396 0 999.00 Used 0 None Unknown
## 1418 1 700.00 Used Unknown Unknown Unknown
## 1286 0 540.00 Used 1 Verizon Unknown
## 2632 0 700.00 Used 1 Verizon Unknown
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1207 16 iPad 1 Test <NA> 0.67706064 1207 iPad 1
## 2623 Unknown Unknown Test <NA> -0.09583688 2625 iPadmini
## 1396 32 iPad mini Test <NA> 1.29406125 1397 iPadmini
## 1418 Unknown Unknown Test <NA> 0.61635843 1419 Unknown
## 1286 32 iPad 4 Test <NA> -0.12953919 1287 iPad 3+
## 2632 32 iPad 2 Test <NA> 1.88359156 2634 iPad 2
## startprice.log
## 1207 4.827914
## 2623 6.907745
## 1396 6.906755
## 1418 6.551080
## 1286 6.291569
## 2632 6.551080
## descr.my
## 1207 #6428
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1418
## 1286 ***** CRACKED DIGITIZER SCREEN *****
## 2632 Good condition IPAD 2 32gb wifi + 3g verizon. LOT OF FIVE.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1207 Used 0 None Unknown
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1418 Used Unknown Unknown Unknown
## 1286 Used 1 Verizon Unknown
## 2632 Used 1 Verizon Unknown
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1207 16 1 0.6931472
## 2623 Unknown 10 2.3978953
## 1396 32 0 0.0000000
## 1418 Unknown 0 0.0000000
## 1286 32 3 1.3862944
## 2632 32 8 2.1972246
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1207 11.375583 1 0.6931472
## 2623 9.536343 10 2.3978953
## 1396 0.000000 0 0.0000000
## 1418 0.000000 0 0.0000000
## 1286 5.640216 3 1.3862944
## 2632 7.047501 8 2.1972246
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1207 11.375583 1
## 2623 8.670527 1
## 1396 0.000000 1
## 1418 0.000000 1
## 1286 5.318442 1
## 2632 6.968494 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1207 1.0000000 0.0000000 0 0 0
## 2623 0.9092088 0.0000000 0 0 0
## 1396 1.0000000 0.0000000 0 0 0
## 1418 1.0000000 0.0000000 0 0 0
## 1286 0.9429500 0.0000000 0 0 0
## 2632 0.9887894 0.3015858 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1207 0.0000000 0.000000 0 0.0000000 0 0 0
## 2623 0.0000000 0.000000 0 0.3197820 0 0 0
## 1396 0.0000000 0.000000 0 0.0000000 0 0 0
## 1418 0.0000000 0.000000 0 0.0000000 0 0 0
## 1286 0.0000000 1.213624 0 0.0000000 0 0 0
## 2632 0.4691913 0.000000 0 0.4397002 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1207 0 0 0 0 0 0.000000
## 2623 0 0 0 0 0 0.000000
## 1396 0 0 0 0 0 0.000000
## 1418 0 0 0 0 0 0.000000
## 1286 0 0 0 0 0 1.702932
## 2632 0 0 0 0 0 0.000000
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 1207 0 0 0 0 0 0 0
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1286 0 0 0 0 0 0 0
## 2632 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 1207 0 0 0 0 0.0000000 0
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1286 0 0 0 0 0.0000000 0
## 2632 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 1207 0 0 0 0 0 0
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1286 0 0 0 0 0 0
## 2632 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 1207 0 0 0 0 0.6931472 0.6931472
## 2623 0 0 0 0 2.9444390 2.3978953
## 1396 0 0 0 0 0.0000000 0.0000000
## 1418 0 0 0 0 0.0000000 0.0000000
## 1286 0 0 0 0 1.3862944 1.3862944
## 2632 0 0 0 0 2.4849066 2.1972246
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 1207 11.375583 11.3755825 1.791759 0.000000
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1286 5.318442 1.7728140 3.610918 3.135494
## 2632 6.968494 0.6334994 4.077537 3.713572
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 1207 1.609438 0 0.6931472 0 0.0000000
## 2623 1.098612 0 0.0000000 0 0.6931472
## 1396 0.000000 0 0.0000000 0 0.0000000
## 1418 0.000000 0 0.0000000 0 0.0000000
## 1286 0.000000 0 0.0000000 0 0.0000000
## 2632 1.609438 0 0.0000000 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 1207 0 0.0000000 0 0.000000 0
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1286 0 0.0000000 0 0.000000 0
## 2632 0 0.0000000 0 1.098612 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 1207 0 0.0000000 0.6931472 0.0000000
## 2623 0 0.6931472 0.6931472 1.9459101
## 1396 0 0.0000000 0.0000000 0.0000000
## 1418 0 0.0000000 0.0000000 0.0000000
## 1286 0 0.0000000 0.6931472 0.0000000
## 2632 0 0.0000000 0.6931472 0.6931472
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 1207 0.5000000 0 0 0 0
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1286 0.2500000 0 0 0 0
## 2632 0.1666667 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 1207 iPad 1 iPad 1#1 1 1
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1286 iPad 3+ iPad 3+#1 2 2
## 2632 iPad 2 iPad 2#1 2 2
## startprice.predict.All.Interact.X.Train.glmnet
## 1207 -71.34341
## 2623 87.22845
## 1396 252.56135
## 1418 48.86094
## 1286 164.90234
## 2632 184.13917
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1207 196.2934
## 2623 912.7615
## 1396 746.4387
## 1418 651.1391
## 1286 375.0977
## 2632 515.8608
## startprice.predict.All.X.no.rnorm.Train.rf
## 1207 150.82320
## 2623 138.16716
## 1396 198.37805
## 1418 68.68574
## 1286 214.81260
## 2632 221.29721
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1207 25.8732
## 2623 861.8228
## 1396 800.6220
## 1418 631.3143
## 1286 325.1874
## 2632 478.7028
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1207 234.49168
## 2623 234.49168
## 1396 234.49168
## 1418 75.03309
## 1286 234.49168
## 2632 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1207 109.5417
## 2623 765.4983
## 1396 764.5083
## 1418 624.9669
## 1286 305.5083
## 2632 465.5083
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1207 138.38382
## 2623 138.88925
## 1396 205.75215
## 1418 66.77037
## 1286 226.41108
## 2632 195.77455
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1207 13.43382
## 2623 861.10075
## 1396 793.24785
## 1418 633.22963
## 1286 313.58892
## 2632 504.22545
## startprice.predict.Low.cor.X.Train.lm
## 1207 -186.6562
## 2623 178.2272
## 1396 196.5086
## 1418 55.4960
## 1286 166.2236
## 2632 173.1584
## startprice.predict.Low.cor.X.Train.lm.err
## 1207 311.6062
## 2623 821.7628
## 1396 802.4914
## 1418 644.5040
## 1286 373.7764
## 2632 526.8416
## startprice.predict.All.X.Train.bayesglm
## 1207 -602.876192
## 2623 180.269772
## 1396 196.893923
## 1418 55.038043
## 1286 8.640914
## 2632 175.380482
## startprice.predict.All.X.Train.bayesglm.err
## 1207 727.8262
## 2623 819.7202
## 1396 802.1061
## 1418 644.9620
## 1286 531.3591
## 2632 524.6195
## startprice.predict.All.X.Train.lm
## 1207 -710.10001
## 2623 194.65243
## 1396 196.67298
## 1418 55.00877
## 1286 -19.21654
## 2632 171.90210
## startprice.predict.All.X.Train.lm.err
## 1207 835.0500
## 2623 805.3376
## 1396 802.3270
## 1418 644.9912
## 1286 559.2165
## 2632 528.0979
## startprice.predict.All.X.Train.glm
## 1207 -710.10001
## 2623 194.65243
## 1396 196.67298
## 1418 55.00877
## 1286 -19.21654
## 2632 171.90210
## startprice.predict.All.X.Train.glm.err
## 1207 835.0500
## 2623 805.3376
## 1396 802.3270
## 1418 644.9912
## 1286 559.2165
## 2632 528.0979
## [1] "fitting model: Max.cor.Y.Train.lm"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -236.26 -51.92 -3.23 48.09 412.75
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 198.882 14.721 13.510 < 2e-16 ***
## biddable -139.723 7.488 -18.659 < 2e-16 ***
## `prdl.my.descr.fctrUnknown#1` 25.157 21.503 1.170 0.242345
## `prdl.my.descr.fctriPad 1#0` -33.187 17.927 -1.851 0.064487 .
## `prdl.my.descr.fctriPad 1#1` -51.917 18.733 -2.771 0.005705 **
## `prdl.my.descr.fctriPad 2#0` -6.725 17.440 -0.386 0.699859
## `prdl.my.descr.fctriPad 2#1` -19.690 18.016 -1.093 0.274751
## `prdl.my.descr.fctriPad 3+#0` 41.276 17.180 2.403 0.016495 *
## `prdl.my.descr.fctriPad 3+#1` 4.347 18.587 0.234 0.815154
## `prdl.my.descr.fctriPadAir#0` 178.090 16.886 10.547 < 2e-16 ***
## `prdl.my.descr.fctriPadAir#1` 83.548 18.835 4.436 1.04e-05 ***
## `prdl.my.descr.fctriPadmini 2+#0` 111.192 18.513 6.006 2.82e-09 ***
## `prdl.my.descr.fctriPadmini 2+#1` 85.435 24.852 3.438 0.000615 ***
## `prdl.my.descr.fctriPadmini#0` 11.189 17.448 0.641 0.521508
## `prdl.my.descr.fctriPadmini#1` -7.250 18.892 -0.384 0.701252
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.68 on 845 degrees of freedom
## Multiple R-squared: 0.4871, Adjusted R-squared: 0.4786
## F-statistic: 57.33 on 14 and 845 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"
## model_id model_method feats
## 1 Max.cor.Y.Train.lm lm biddable, prdl.my.descr.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.053 0.007
## max.R.sq.fit min.RMSE.fit max.Adj.R.sq.fit max.Rsquared.fit
## 1 0.4871264 95.53887 0.478629 0.4720972
## min.RMSESD.fit max.RsquaredSD.fit
## 1 4.53928 0.052658## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 1523 11524
## 792 10792
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## biddable startprice condition cellular carrier color storage
## 1299 1 650 New 1 Unknown Gold 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1523 0 650 New 1 AT&T Unknown 128
## 792 1 550 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1523 6.476972
## 792 6.309918
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1523 New 1 AT&T Unknown 128
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1523 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1523 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1523 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1523 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1523 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1523 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1523 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1523 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1299 iPadAir#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1704 Unknown#0 1 1 Fit
## 794 iPadAir#1 1 1 Fit
## 1523 iPadmini 2+#0 1 1 Fit
## 792 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 1523 363.3115 286.6885
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 1523 362.2824
## 792 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 1523 287.7176
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1299 382.2122 267.7878
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 1523 438.0885 211.9115
## 792 313.2756 236.7244
## startprice.predict.All.X.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1299 267.1893 383.0273
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 1523 212.2680 439.0099
## 792 236.9420 313.2768
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1299 266.9727 383.0273
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 1523 210.9901 439.0099
## 792 236.7232 313.2768
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1299 266.9727 237.2502
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 1523 210.9901 310.0750
## 792 236.7232 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1299 235.7130
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 1523 313.5584
## 792 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1299 414.2870
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 1523 336.4416
## 792 314.2870
## startprice.predict.All.Interact.X.bayesglm
## 1299 402.1242
## 1358 229.2466
## 1704 330.3139
## 794 244.4212
## 1523 438.0361
## 792 323.6249
## startprice.predict.All.Interact.X.bayesglm.err
## 1299 247.8758
## 1358 365.7534
## 1704 259.6861
## 794 280.5788
## 1523 211.9639
## 792 226.3751
## startprice.predict.Max.cor.Y.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.Max.cor.Y.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.All.X.no.rnorm.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1299 224.47493
## 1358 234.49168
## 1704 234.49168
## 794 74.98766
## 1523 234.49168
## 792 224.47493
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1299 425.5251
## 1358 360.5083
## 1704 355.5083
## 794 450.0123
## 1523 415.5083
## 792 325.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.no.rnorm.Train.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.Train.lm
## 1299 382.2122
## 1358 258.9626
## 1704 240.2116
## 794 280.5446
## 1523 438.0885
## 792 313.2756
## startprice.predict.Low.cor.X.Train.lm.err
## 1299 267.7878
## 1358 336.0374
## 1704 349.7884
## 794 244.4554
## 1523 211.9115
## 792 236.7244
## startprice.predict.All.X.Train.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.Train.bayesglm.err
## 1299 267.1893
## 1358 336.1528
## 1704 346.5888
## 794 234.6432
## 1523 212.2680
## 792 236.9420
## startprice.predict.All.X.Train.lm
## 1299 383.0273
## 1358 259.1831
## 1704 243.0785
## 794 293.5478
## 1523 439.0099
## 792 313.2768
## startprice.predict.All.X.Train.lm.err
## 1299 266.9727
## 1358 335.8169
## 1704 346.9215
## 794 231.4522
## 1523 210.9901
## 792 236.7232
## startprice.predict.All.X.Train.glm
## 1299 383.0273
## 1358 259.1831
## 1704 243.0785
## 794 293.5478
## 1523 439.0099
## 792 313.2768
## startprice.predict.All.X.Train.glm.err
## 1299 266.9727
## 1358 335.8169
## 1704 346.9215
## 794 231.4522
## 1523 210.9901
## 792 236.7232
## startprice.predict.Max.cor.Y.Train.lm
## 1299 237.2502
## 1358 198.8825
## 1704 198.8825
## 794 142.7082
## 1523 310.0750
## 792 237.2502
## startprice.predict.Max.cor.Y.Train.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1282 11283
## 793 10793
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1282 0 948.98 New 1 Unknown
## 793 1 800.00 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 793 Gold 128 iPad Air 2 Test <NA> 0.16121641 793
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1282 iPadmini 2+ 6.855388
## 793 iPadAir 6.684612
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1282 New 1 Unknown Gold
## 793 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1282 128 0 0.000000
## 793 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 793 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1282 0.000000 1
## 793 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 793 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 793 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 793 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 793 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 793 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 793 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 793 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 793 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1282 422.55240
## 793 355.70206
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1282 526.4276
## 793 444.2979
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1282 479.12778
## 793 389.35336
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1282 469.8522
## 793 410.6466
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 2501 221.89441
## 1418 75.03309
## 1282 234.49168
## 793 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 2501 658.0956
## 1418 624.9669
## 1282 714.4883
## 793 578.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 2501 229.24957
## 1418 66.77037
## 1282 453.65462
## 793 399.26642
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 2501 650.7404
## 1418 633.2296
## 1282 495.3254
## 793 400.7336
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 2501 372.1603
## 1418 55.4960
## 1282 454.4696
## 793 389.9706
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 2501 507.8297
## 1418 644.5040
## 1282 494.5104
## 793 410.0294
## startprice.predict.All.X.Train.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2501 373.74123
## 1418 55.03804
## 1282 454.93903
## 793 390.43568
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 2501 506.2488
## 1418 644.9620
## 1282 494.0410
## 793 409.5643
## startprice.predict.All.X.Train.lm
## 2623 194.65243
## 1396 196.67298
## 2501 372.97240
## 1418 55.00877
## 1282 455.37422
## 793 390.92182
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 2501 507.0176
## 1418 644.9912
## 1282 493.6058
## 793 409.0782
## startprice.predict.All.X.Train.glm
## 2623 194.65243
## 1396 196.67298
## 2501 372.97240
## 1418 55.00877
## 1282 455.37422
## 793 390.92182
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 2501 507.0176
## 1418 644.9912
## 1282 493.6058
## 793 409.0782
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.63239
## 1396 210.07166
## 2501 237.25017
## 1418 59.15977
## 1282 310.07498
## 793 237.25017
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 2501 642.7398
## 1418 640.8402
## 1282 638.9050
## 793 562.7498
## [1] "fitting model: Interact.High.cor.Y.Train.lm"
## [1] " indep_vars: biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## lm(formula = .outcome ~ ., data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -234.72 -52.71 -1.76 48.43 414.29
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 202.5649 15.3393 13.206 < 2e-16
## biddable -207.6485 66.2336 -3.135 0.00178
## `prdl.my.descr.fctrUnknown#1` 23.2773 24.0233 0.969 0.33285
## `prdl.my.descr.fctriPad 1#0` -32.5585 17.9166 -1.817 0.06954
## `prdl.my.descr.fctriPad 1#1` -62.9773 21.6978 -2.902 0.00380
## `prdl.my.descr.fctriPad 2#0` -5.8782 17.4433 -0.337 0.73621
## `prdl.my.descr.fctriPad 2#1` -30.3699 20.9168 -1.452 0.14689
## `prdl.my.descr.fctriPad 3+#0` 42.1321 17.1851 2.452 0.01442
## `prdl.my.descr.fctriPad 3+#1` -0.7757 21.0353 -0.037 0.97059
## `prdl.my.descr.fctriPadAir#0` 178.2794 16.8629 10.572 < 2e-16
## `prdl.my.descr.fctriPadAir#1` 72.0567 22.1607 3.252 0.00119
## `prdl.my.descr.fctriPadmini 2+#0` 110.9935 18.4872 6.004 2.87e-09
## `prdl.my.descr.fctriPadmini 2+#1` 75.8002 27.0366 2.804 0.00517
## `prdl.my.descr.fctriPadmini#0` 11.5460 17.4275 0.663 0.50782
## `prdl.my.descr.fctriPadmini#1` -19.8885 21.8545 -0.910 0.36306
## `biddable:D.TfIdf.sum.post.stop` -46.2879 22.0721 -2.097 0.03628
## `biddable:D.npnct03.log` 12.2940 31.2464 0.393 0.69408
## `biddable:D.terms.n.post.stem` -11.6299 9.5207 -1.222 0.22223
## `biddable:D.nuppr.log` -26.3411 38.6319 -0.682 0.49552
## `biddable:D.nwrds.unq.log` 138.9210 95.3717 1.457 0.14559
## `biddable:D.npnct24.log` -54.9580 128.5127 -0.428 0.66902
## `biddable:D.TfIdf.sum.post.stem` 47.9547 22.9602 2.089 0.03705
## `biddable:D.ratio.nstopwrds.nwrds` 62.5173 65.4944 0.955 0.34008
##
## (Intercept) ***
## biddable **
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0` .
## `prdl.my.descr.fctriPad 1#1` **
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0` *
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0` ***
## `prdl.my.descr.fctriPadAir#1` **
## `prdl.my.descr.fctriPadmini 2+#0` ***
## `prdl.my.descr.fctriPadmini 2+#1` **
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## `biddable:D.TfIdf.sum.post.stop` *
## `biddable:D.npnct03.log`
## `biddable:D.terms.n.post.stem`
## `biddable:D.nuppr.log`
## `biddable:D.nwrds.unq.log`
## `biddable:D.npnct24.log`
## `biddable:D.TfIdf.sum.post.stem` *
## `biddable:D.ratio.nstopwrds.nwrds`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 94.54 on 837 degrees of freedom
## Multiple R-squared: 0.4935, Adjusted R-squared: 0.4802
## F-statistic: 37.06 on 22 and 837 DF, p-value: < 2.2e-16
##
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 Interact.High.cor.Y.Train.lm lm
## feats
## 1 biddable, prdl.my.descr.fctr, biddable:D.TfIdf.sum.post.stop, biddable:D.npnct03.log, biddable:D.terms.n.post.stem, biddable:D.nuppr.log, biddable:D.nwrds.unq.log, biddable:D.npnct24.log, biddable:D.TfIdf.sum.post.stem, biddable:D.ratio.nstopwrds.nwrds
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 1.085 0.011
## max.R.sq.fit min.RMSE.fit max.Adj.R.sq.fit max.Rsquared.fit
## 1 0.4934704 95.59187 0.4801566 0.4722355
## min.RMSESD.fit max.RsquaredSD.fit
## 1 4.645641 0.05926343## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1299 11300
## 1358 11359
## 1704 11705
## 794 10794
## 1523 11524
## 792 10792
## description
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## biddable startprice condition cellular carrier color storage
## 1299 1 650 New 1 Unknown Gold 128
## 1358 0 595 New Unknown Unknown Unknown Unknown
## 1704 0 590 New Unknown Unknown White 16
## 794 1 525 Used 0 None White 128
## 1523 0 650 New 1 AT&T Unknown 128
## 792 1 550 Used 0 None Gold 128
## productline .src .grpid .rnorm idseq.my prdline.my
## 1299 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1358 Unknown Train <NA> 2.2851702 1359 Unknown
## 1704 Unknown Train <NA> 0.6120207 1705 Unknown
## 794 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1523 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 792 iPad Air 2 Train <NA> 0.0857561 792 iPadAir
## startprice.log
## 1299 6.476972
## 1358 6.388561
## 1704 6.380123
## 794 6.263398
## 1523 6.476972
## 792 6.309918
## descr.my
## 1299
## 1358
## 1704
## 794 Excellent Used Condition. Please see all photos and description.
## 1523
## 792
## condition.fctr cellular.fctr carrier.fctr color.fctr storage.fctr
## 1299 New 1 Unknown Gold 128
## 1358 New Unknown Unknown Unknown Unknown
## 1704 New Unknown Unknown White 16
## 794 Used 0 None White 128
## 1523 New 1 AT&T Unknown 128
## 792 Used 0 None Gold 128
## D.terms.n.post.stop D.terms.n.post.stop.log D.TfIdf.sum.post.stop
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.983944
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.post.stem D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1299 0 0.000000 0.000000
## 1358 0 0.000000 0.000000
## 1704 0 0.000000 0.000000
## 794 7 2.079442 4.925069
## 1523 0 0.000000 0.000000
## 792 0 0.000000 0.000000
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1299 1 1.0000000 0.0000000
## 1358 1 1.0000000 0.0000000
## 1704 1 1.0000000 0.0000000
## 794 1 0.9881871 0.3446695
## 1523 1 1.0000000 0.0000000
## 792 1 1.0000000 0.0000000
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1299 0.0000000 0 0 0 0 0 0
## 1358 0.0000000 0 0 0 0 0 0
## 1704 0.0000000 0 0 0 0 0 0
## 794 0.4558153 0 0 0 0 0 0
## 1523 0.0000000 0 0 0 0 0 0
## 792 0.0000000 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1299 0 0.0000000 0 0 0 0
## 1358 0 0.0000000 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 794 0 0.6759609 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 792 0 0.0000000 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1299 0 0 0 0.0000000 0 0 0.000000
## 1358 0 0 0 0.0000000 0 0 0.000000
## 1704 0 0 0 0.0000000 0 0 0.000000
## 794 0 0 0 0.8068089 0 0 0.758499
## 1523 0 0 0 0.0000000 0 0 0.000000
## 792 0 0 0 0.0000000 0 0 0.000000
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1299 0 0 0 0 0 0 0
## 1358 0 0 0 0 0 0 0
## 1704 0 0 0 0 0 0 0
## 794 0 0 0 0 0 0 0
## 1523 0 0 0 0 0 0 0
## 792 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1299 0 0 0 0.0000000 0 0
## 1358 0 0 0 0.0000000 0 0
## 1704 0 0 0 0.0000000 0 0
## 794 0 0 0 0.9044555 0 0
## 1523 0 0 0 0.0000000 0 0
## 792 0 0 0 0.0000000 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1299 0 0 0 0 0 0
## 1358 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 792 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1299 0 0.000000 0.000000 0.000000
## 1358 0 0.000000 0.000000 0.000000
## 1704 0 0.000000 0.000000 0.000000
## 794 0 2.302585 2.079442 4.925069
## 1523 0 0.000000 0.000000 0.000000
## 792 0 0.000000 0.000000 0.000000
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1299 0.0000000 0.000000 0.000000 0
## 1358 0.0000000 0.000000 0.000000 0
## 1704 0.0000000 0.000000 0.000000 0
## 794 0.5472299 4.174387 4.007333 0
## 1523 0.0000000 0.000000 0.000000 0
## 792 0.0000000 0.000000 0.000000 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1299 0 0 0 0 0
## 1358 0 0 0 0 0
## 1704 0 0 0 0 0
## 794 0 0 0 0 0
## 1523 0 0 0 0 0
## 792 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1299 0 0 0.000000 0 0
## 1358 0 0 0.000000 0 0
## 1704 0 0 0.000000 0 0
## 794 0 0 1.098612 0 0
## 1523 0 0 0.000000 0 0
## 792 0 0 0.000000 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1299 0 0.0000000 0.000000 1.0
## 1358 0 0.0000000 0.000000 1.0
## 1704 0 0.0000000 0.000000 1.0
## 794 0 0.6931472 1.098612 0.3
## 1523 0 0.0000000 0.000000 1.0
## 792 0 0.0000000 0.000000 1.0
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1299 0 0 0 0 iPadAir
## 1358 0 0 0 0 Unknown
## 1704 0 0 0 0 Unknown
## 794 0 0 0 0 iPadAir
## 1523 0 0 0 0 iPadmini 2+
## 792 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1299 iPadAir#0 1 1 Fit
## 1358 Unknown#0 1 1 Fit
## 1704 Unknown#0 1 1 Fit
## 794 iPadAir#1 1 1 Fit
## 1523 iPadmini 2+#0 1 1 Fit
## 792 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1299 305.6479 344.3521
## 1358 270.3419 324.6581
## 1704 241.5433 348.4567
## 794 198.9953 326.0047
## 1523 363.3115 286.6885
## 792 240.5527 309.4473
## startprice.predict.All.X.no.rnorm.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1299 221.8944
## 1358 224.5690
## 1704 224.5690
## 794 125.7944
## 1523 362.2824
## 792 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1299 428.1056
## 1358 370.4310
## 1704 365.4310
## 794 399.2056
## 1523 287.7176
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1299 382.2122 267.7878
## 1358 258.9626 336.0374
## 1704 240.2116 349.7884
## 794 280.5446 244.4554
## 1523 438.0885 211.9115
## 792 313.2756 236.7244
## startprice.predict.All.X.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1299 267.1893 383.0273
## 1358 336.1528 259.1831
## 1704 346.5888 243.0785
## 794 234.6432 293.5478
## 1523 212.2680 439.0099
## 792 236.9420 313.2768
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1299 266.9727 383.0273
## 1358 335.8169 259.1831
## 1704 346.9215 243.0785
## 794 231.4522 293.5478
## 1523 210.9901 439.0099
## 792 236.7232 313.2768
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1299 266.9727 237.2502
## 1358 335.8169 198.8825
## 1704 346.9215 198.8825
## 794 231.4522 142.7082
## 1523 210.9901 310.0750
## 792 236.7232 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1299 235.7130
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 1523 313.5584
## 792 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1299 414.2870
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 1523 336.4416
## 792 314.2870
## startprice.predict.All.Interact.X.bayesglm
## 1299 402.1242
## 1358 229.2466
## 1704 330.3139
## 794 244.4212
## 1523 438.0361
## 792 323.6249
## startprice.predict.All.Interact.X.bayesglm.err
## 1299 247.8758
## 1358 365.7534
## 1704 259.6861
## 794 280.5788
## 1523 211.9639
## 792 226.3751
## startprice.predict.Max.cor.Y.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.Max.cor.Y.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.X.no.rnorm.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.All.X.no.rnorm.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1299 224.47493
## 1358 234.49168
## 1704 234.49168
## 794 74.98766
## 1523 234.49168
## 792 224.47493
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1299 425.5251
## 1358 360.5083
## 1704 355.5083
## 794 450.0123
## 1523 415.5083
## 792 325.5251
## startprice.predict.All.Interact.X.Train.glmnet
## 1299 353.6184
## 1358 233.6314
## 1704 245.8868
## 794 192.0747
## 1523 386.5313
## 792 276.5048
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1299 296.3816
## 1358 361.3686
## 1704 344.1132
## 794 332.9253
## 1523 263.4687
## 792 273.4952
## startprice.predict.All.X.no.rnorm.Train.rf
## 1299 400.1281
## 1358 329.7160
## 1704 400.9275
## 794 318.9829
## 1523 500.2487
## 792 370.6733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1299 249.8719
## 1358 265.2840
## 1704 189.0725
## 794 206.0171
## 1523 149.7513
## 792 179.3267
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1299 221.89441
## 1358 234.49168
## 1704 234.49168
## 794 75.03309
## 1523 234.49168
## 792 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1299 428.1056
## 1358 360.5083
## 1704 355.5083
## 794 449.9669
## 1523 415.5083
## 792 328.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1299 396.3754
## 1358 342.0021
## 1704 401.5837
## 794 337.6408
## 1523 494.0150
## 792 371.6210
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1299 253.6246
## 1358 252.9979
## 1704 188.4163
## 794 187.3592
## 1523 155.9850
## 792 178.3790
## startprice.predict.Low.cor.X.Train.lm
## 1299 382.2122
## 1358 258.9626
## 1704 240.2116
## 794 280.5446
## 1523 438.0885
## 792 313.2756
## startprice.predict.Low.cor.X.Train.lm.err
## 1299 267.7878
## 1358 336.0374
## 1704 349.7884
## 794 244.4554
## 1523 211.9115
## 792 236.7244
## startprice.predict.All.X.Train.bayesglm
## 1299 382.8107
## 1358 258.8472
## 1704 243.4112
## 794 290.3568
## 1523 437.7320
## 792 313.0580
## startprice.predict.All.X.Train.bayesglm.err
## 1299 267.1893
## 1358 336.1528
## 1704 346.5888
## 794 234.6432
## 1523 212.2680
## 792 236.9420
## startprice.predict.All.X.Train.lm
## 1299 383.0273
## 1358 259.1831
## 1704 243.0785
## 794 293.5478
## 1523 439.0099
## 792 313.2768
## startprice.predict.All.X.Train.lm.err
## 1299 266.9727
## 1358 335.8169
## 1704 346.9215
## 794 231.4522
## 1523 210.9901
## 792 236.7232
## startprice.predict.All.X.Train.glm
## 1299 383.0273
## 1358 259.1831
## 1704 243.0785
## 794 293.5478
## 1523 439.0099
## 792 313.2768
## startprice.predict.All.X.Train.glm.err
## 1299 266.9727
## 1358 335.8169
## 1704 346.9215
## 794 231.4522
## 1523 210.9901
## 792 236.7232
## startprice.predict.Max.cor.Y.Train.lm
## 1299 237.2502
## 1358 198.8825
## 1704 198.8825
## 794 142.7082
## 1523 310.0750
## 792 237.2502
## startprice.predict.Max.cor.Y.Train.lm.err
## 1299 412.7498
## 1358 396.1175
## 1704 391.1175
## 794 382.2918
## 1523 339.9250
## 792 312.7498
## startprice.predict.Interact.High.cor.Y.Train.lm
## 1299 235.7130
## 1358 202.5649
## 1704 202.5649
## 794 155.0292
## 1523 313.5584
## 792 235.7130
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 1299 414.2870
## 1358 392.4351
## 1704 387.4351
## 794 369.9708
## 1523 336.4416
## 792 314.2870## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 2501 12503
## 1418 11419
## 1282 11283
## 793 10793
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2501 1 879.99 New 0 None
## 1418 1 700.00 Used Unknown Unknown
## 1282 0 948.98 New 1 Unknown
## 793 1 800.00 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 793 Gold 128 iPad Air 2 Test <NA> 0.16121641 793
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2501 iPadAir 6.779911
## 1418 Unknown 6.551080
## 1282 iPadmini 2+ 6.855388
## 793 iPadAir 6.684612
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2501
## 1418
## 1282
## 793
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2501 New 0 None Space Gray
## 1418 Used Unknown Unknown Unknown
## 1282 New 1 Unknown Gold
## 793 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2501 128 0 0.000000
## 1418 Unknown 0 0.000000
## 1282 128 0 0.000000
## 793 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1418 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 793 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2501 0.000000 1
## 1418 0.000000 1
## 1282 0.000000 1
## 793 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1418 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 793 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 793 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 793 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 793 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1418 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 793 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1418 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 793 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 793 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1418 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 793 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1418 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 793 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1418 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 793 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1418 Unknown Unknown#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 793 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 2501 411.99213
## 1418 48.86094
## 1282 422.55240
## 793 355.70206
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2501 467.9979
## 1418 651.1391
## 1282 526.4276
## 793 444.2979
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 2501 241.74780
## 1418 68.68574
## 1282 479.12778
## 793 389.35336
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 2501 638.2422
## 1418 631.3143
## 1282 469.8522
## 793 410.6466
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 2501 221.89441
## 1418 75.03309
## 1282 234.49168
## 793 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 2501 658.0956
## 1418 624.9669
## 1282 714.4883
## 793 578.1056
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 2501 229.24957
## 1418 66.77037
## 1282 453.65462
## 793 399.26642
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 2501 650.7404
## 1418 633.2296
## 1282 495.3254
## 793 400.7336
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 2501 372.1603
## 1418 55.4960
## 1282 454.4696
## 793 389.9706
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 2501 507.8297
## 1418 644.5040
## 1282 494.5104
## 793 410.0294
## startprice.predict.All.X.Train.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2501 373.74123
## 1418 55.03804
## 1282 454.93903
## 793 390.43568
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 2501 506.2488
## 1418 644.9620
## 1282 494.0410
## 793 409.5643
## startprice.predict.All.X.Train.lm
## 2623 194.65243
## 1396 196.67298
## 2501 372.97240
## 1418 55.00877
## 1282 455.37422
## 793 390.92182
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 2501 507.0176
## 1418 644.9912
## 1282 493.6058
## 793 409.0782
## startprice.predict.All.X.Train.glm
## 2623 194.65243
## 1396 196.67298
## 2501 372.97240
## 1418 55.00877
## 1282 455.37422
## 793 390.92182
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 2501 507.0176
## 1418 644.9912
## 1282 493.6058
## 793 409.0782
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.63239
## 1396 210.07166
## 2501 237.25017
## 1418 59.15977
## 1282 310.07498
## 793 237.25017
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 2501 642.7398
## 1418 640.8402
## 1282 638.9050
## 793 562.7498
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.67640
## 1396 214.11095
## 2501 235.71301
## 1418 57.43364
## 1282 313.55844
## 793 235.71301
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 2501 644.2770
## 1418 642.5664
## 1282 635.4216
## 793 564.2870
## [1] "fitting model: All.Interact.X.Train.bayesglm"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"
## Aggregating results
## Fitting final model on full training set
##
## Call:
## NULL
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -258.00 -27.15 -0.19 26.19 365.75
##
## Coefficients:
## Estimate
## (Intercept) 207.42509
## `prdl.my.descr.fctrUnknown#1` 40.78753
## `prdl.my.descr.fctriPad 1#0` -29.25098
## `prdl.my.descr.fctriPad 1#1` -242.76726
## `prdl.my.descr.fctriPad 2#0` 8.86611
## `prdl.my.descr.fctriPad 2#1` 53.04364
## `prdl.my.descr.fctriPad 3+#0` 25.82733
## `prdl.my.descr.fctriPad 3+#1` -140.60549
## `prdl.my.descr.fctriPadAir#0` 153.08432
## `prdl.my.descr.fctriPadAir#1` 325.61784
## `prdl.my.descr.fctriPadmini 2+#0` 156.07160
## `prdl.my.descr.fctriPadmini 2+#1` -35.79425
## `prdl.my.descr.fctriPadmini#0` 15.97287
## `prdl.my.descr.fctriPadmini#1` -17.33263
## D.ratio.nstopwrds.nwrds -199.70753
## .rnorm 3.49200
## D.npnct14.log -33.91790
## D.terms.n.stem.stop.Ratio -2.09052
## D.ndgts.log -28.85345
## D.npnct05.log -45.18695
## D.npnct15.log -57.02986
## D.npnct12.log 6.32289
## D.npnct06.log -75.42388
## D.npnct03.log 45.35371
## D.npnct11.log -21.83968
## D.npnct13.log -11.89738
## D.nwrds.log 117.88501
## D.terms.n.post.stop.log 16.93973
## D.nwrds.unq.log 15.79610
## D.terms.n.post.stem.log 15.79610
## D.nuppr.log -26.34042
## D.TfIdf.sum.post.stem -3.58327
## D.sum.TfIdf -3.58327
## D.npnct24.log -28.04308
## D.TfIdf.sum.post.stop 3.08936
## D.ratio.sum.TfIdf.nwrds -5.13695
## D.nchrs.log -57.05948
## D.TfIdf.sum.stem.stop.Ratio 193.87527
## D.npnct16.log 74.97597
## D.npnct01.log 40.51765
## D.nstopwrds.log 27.39818
## D.npnct08.log 28.17063
## D.terms.n.post.stop 15.88327
## D.terms.n.post.stem -23.75559
## biddable -130.01290
## `condition.fctrFor parts or not working` -76.02205
## `condition.fctrManufacturer refurbished` 69.25126
## condition.fctrNew 48.43685
## `condition.fctrNew other (see details)` 22.25324
## `condition.fctrSeller refurbished` 20.14938
## color.fctrGold 22.78679
## `color.fctrSpace Gray` 67.35599
## color.fctrUnknown -19.36026
## color.fctrWhite 63.52023
## storage.fctr16 -57.49956
## storage.fctr32 -52.44583
## storage.fctr64 5.77554
## storage.fctrUnknown -62.99117
## idseq.my 0.05358
## cellular.fctr1 6.74464
## cellular.fctrUnknown -9.65324
## carrier.fctrNone 1.52836
## carrier.fctrOther 17.89624
## carrier.fctrSprint -29.70676
## `carrier.fctrT-Mobile` 4.24426
## carrier.fctrUnknown 2.17383
## carrier.fctrVerizon 1.90046
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -111.76793
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 47.68031
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -38.57145
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 42.43232
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -6.96663
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -19.27050
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 26.02700
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 361.53776
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` -29.25098
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 76.44500
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 8.86611
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 27.08057
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 25.82733
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 29.05629
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 153.08432
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -162.09097
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 156.07160
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -3.81868
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 15.97287
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` -132.19813
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 101.14894
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 45.76323
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 79.05047
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -91.25248
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 59.94502
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` -45.96347
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` -76.17082
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 15.96875
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -81.08022
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 38.89823
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` -116.87469
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 28.57867
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 240.01402
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` -46.29303
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 24.34052
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` -41.10954
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` -0.67669
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` -13.71187
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 8.70380
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 92.95136
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` -37.22113
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 131.27478
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 44.46982
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` -53.45372
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` -20.52596
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 69.28376
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` -152.69716
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 0.00000
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 144.06989
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` -18.20224
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` -48.44466
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` -20.04079
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` -2.57228
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 11.82745
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` -43.30428
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` -114.45217
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 11.01848
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 49.59233
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 6.31592
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 8.88776
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` -31.92903
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 0.00000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 42.72872
## `prdl.my.descr.fctrUnknown#1:biddable` -70.84186
## `prdl.my.descr.fctriPad 1#0:biddable` 79.68596
## `prdl.my.descr.fctriPad 1#1:biddable` 61.56438
## `prdl.my.descr.fctriPad 2#0:biddable` 24.24592
## `prdl.my.descr.fctriPad 2#1:biddable` 17.02044
## `prdl.my.descr.fctriPad 3+#0:biddable` 4.07481
## `prdl.my.descr.fctriPad 3+#1:biddable` -6.62381
## `prdl.my.descr.fctriPadAir#0:biddable` -75.48000
## `prdl.my.descr.fctriPadAir#1:biddable` 28.50761
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -90.15963
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 61.32792
## `prdl.my.descr.fctriPadmini#0:biddable` 30.23009
## `prdl.my.descr.fctriPadmini#1:biddable` 51.95950
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 17.39840
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 29.21536
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 27.22355
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 75.23125
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 7.15061
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 20.03858
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 34.33595
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -36.58210
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 33.47036
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 64.72146
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` -47.12348
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 36.46829
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 3.15473
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 0.00000
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -125.92324
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 0.00000
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -82.36495
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -70.29219
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -104.13760
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 0.00000
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -127.03307
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -6.96615
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -175.07063
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 0.00000
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 2.37983
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 73.26770
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 32.22649
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -14.98997
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 16.96719
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 21.45515
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 1.90355
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 0.00000
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -0.57285
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 0.00000
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -37.70794
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -84.77850
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -6.94794
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 26.14926
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -56.98061
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 75.35866
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -22.60200
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 173.80649
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -94.07419
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 8.18189
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 35.24819
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -118.83058
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -37.16376
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -43.05367
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -4.08825
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -37.84722
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -83.85738
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -11.42162
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 0.00000
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -191.80605
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 0.00000
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -40.29453
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 184.78424
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -40.97795
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 12.09463
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.95183
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -38.88495
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 97.05712
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 0.00000
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 0.00000
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -71.19555
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 11.00145
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -44.98928
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 0.00000
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 0.00000
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 38.26828
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 0.00000
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 64.46251
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -222.28513
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -67.89924
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 17.43494
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -47.18987
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -81.78813
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 140.64503
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 10.96670
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 30.46330
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -23.50399
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -10.16314
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -14.05109
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -21.63711
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 153.40328
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -141.29422
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -6.46670
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 38.06671
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 38.72275
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -11.43196
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -78.48734
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -70.28762
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -61.22271
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -67.85474
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -43.52810
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` -62.08934
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -75.23292
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 54.24819
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` -108.83621
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -78.57776
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 125.63828
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -20.45406
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -80.69606
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 24.04818
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 5.55363
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -58.03661
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 27.61749
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 21.82760
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 34.92123
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 105.82913
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -200.08000
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -3.10710
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -82.60618
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -86.56209
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -21.58069
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 20.33370
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -64.37401
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 10.18160
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -73.54005
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 11.20724
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 46.01881
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 50.29436
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 99.74810
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -191.97727
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -45.59976
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -4.20120
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` -25.16552
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 55.80275
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -47.67032
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 23.11223
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -48.43818
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -111.04538
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -21.82857
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -29.88666
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 3.78895
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 78.71236
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -182.43861
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 161.91453
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -65.12414
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -23.92364
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -28.04683
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -44.89129
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 44.91767
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 8.48656
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 52.88275
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` -9.76952
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 8.89296
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 164.03699
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 80.41885
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 0.00000
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -72.61200
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 110.17323
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 281.35193
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 7.49716
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 57.78034
## `prdl.my.descr.fctrUnknown#1:idseq.my` -0.17109
## `prdl.my.descr.fctriPad 1#0:idseq.my` -0.05627
## `prdl.my.descr.fctriPad 1#1:idseq.my` -0.03759
## `prdl.my.descr.fctriPad 2#0:idseq.my` -0.07163
## `prdl.my.descr.fctriPad 2#1:idseq.my` -0.02899
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -0.07062
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -0.09144
## `prdl.my.descr.fctriPadAir#0:idseq.my` -0.07032
## `prdl.my.descr.fctriPadAir#1:idseq.my` -0.15915
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -0.13488
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` -0.02115
## `prdl.my.descr.fctriPadmini#0:idseq.my` -0.05914
## `prdl.my.descr.fctriPadmini#1:idseq.my` -0.05955
## `cellular.fctr1:carrier.fctrNone` 0.00000
## `cellular.fctrUnknown:carrier.fctrNone` 0.00000
## `cellular.fctr1:carrier.fctrOther` 17.89624
## `cellular.fctrUnknown:carrier.fctrOther` 0.00000
## `cellular.fctr1:carrier.fctrSprint` -29.70676
## `cellular.fctrUnknown:carrier.fctrSprint` 0.00000
## `cellular.fctr1:carrier.fctrT-Mobile` 4.24426
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 0.00000
## `cellular.fctr1:carrier.fctrUnknown` 10.44967
## `cellular.fctrUnknown:carrier.fctrUnknown` -9.65324
## `cellular.fctr1:carrier.fctrVerizon` 1.90046
## `cellular.fctrUnknown:carrier.fctrVerizon` 0.00000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -216.97708
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -12.13214
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -12.74995
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -30.97882
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -41.23161
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 5.05637
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 63.01358
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -73.11580
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 11.74493
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -10.07118
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -72.68572
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 21.95650
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 133.22425
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 17.98438
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -218.70464
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 14.09112
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -16.27548
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -73.91779
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -61.14587
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 82.72289
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 18.73894
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -59.11989
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 27.39501
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` -9.86429
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 42.37176
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -2.65702
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 22.24706
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 58.96197
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.00000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -11.83128
## Std. Error
## (Intercept) 1019.37755
## `prdl.my.descr.fctrUnknown#1` 590.26662
## `prdl.my.descr.fctriPad 1#0` 487.95477
## `prdl.my.descr.fctriPad 1#1` 463.76683
## `prdl.my.descr.fctriPad 2#0` 487.66934
## `prdl.my.descr.fctriPad 2#1` 420.20961
## `prdl.my.descr.fctriPad 3+#0` 466.43427
## `prdl.my.descr.fctriPad 3+#1` 400.24881
## `prdl.my.descr.fctriPadAir#0` 476.83093
## `prdl.my.descr.fctriPadAir#1` 440.94342
## `prdl.my.descr.fctriPadmini 2+#0` 477.75288
## `prdl.my.descr.fctriPadmini 2+#1` 636.04485
## `prdl.my.descr.fctriPadmini#0` 487.79765
## `prdl.my.descr.fctriPadmini#1` 458.50324
## D.ratio.nstopwrds.nwrds 329.10162
## .rnorm 3.82925
## D.npnct14.log 51.89168
## D.terms.n.stem.stop.Ratio 665.89207
## D.ndgts.log 30.91327
## D.npnct05.log 120.82868
## D.npnct15.log 51.98995
## D.npnct12.log 35.98248
## D.npnct06.log 122.76270
## D.npnct03.log 90.76392
## D.npnct11.log 21.09761
## D.npnct13.log 21.72873
## D.nwrds.log 133.03638
## D.terms.n.post.stop.log 537.84731
## D.nwrds.unq.log 554.89681
## D.terms.n.post.stem.log 554.89681
## D.nuppr.log 245.02175
## D.TfIdf.sum.post.stem 460.30659
## D.sum.TfIdf 460.30659
## D.npnct24.log 458.76312
## D.TfIdf.sum.post.stop 87.14685
## D.ratio.sum.TfIdf.nwrds 27.67089
## D.nchrs.log 326.45431
## D.TfIdf.sum.stem.stop.Ratio 562.04075
## D.npnct16.log 231.85267
## D.npnct01.log 216.64576
## D.nstopwrds.log 224.00371
## D.npnct08.log 234.07060
## D.terms.n.post.stop 220.93001
## D.terms.n.post.stem 221.14428
## biddable 33.70379
## `condition.fctrFor parts or not working` 53.79876
## `condition.fctrManufacturer refurbished` 93.26260
## condition.fctrNew 42.85888
## `condition.fctrNew other (see details)` 164.97820
## `condition.fctrSeller refurbished` 71.60204
## color.fctrGold 249.82166
## `color.fctrSpace Gray` 56.11496
## color.fctrUnknown 43.14663
## color.fctrWhite 48.86380
## storage.fctr16 118.53308
## storage.fctr32 131.97602
## storage.fctr64 124.23385
## storage.fctrUnknown 118.59256
## idseq.my 0.04821
## cellular.fctr1 411.51613
## cellular.fctrUnknown 549.70169
## carrier.fctrNone 411.51651
## carrier.fctrOther 461.08461
## carrier.fctrSprint 458.19475
## `carrier.fctrT-Mobile` 458.05763
## carrier.fctrUnknown 411.60764
## carrier.fctrVerizon 457.38030
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 281.80691
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 238.17994
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 229.64554
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 224.76254
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 224.20939
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 334.67638
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 235.65840
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 520.47181
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` 487.95477
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 366.96717
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 487.66934
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 360.76865
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 466.43427
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 340.61644
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 476.83093
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 412.33778
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 477.75288
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 646.64606
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 487.79765
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` 402.14319
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 236.26560
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 221.58851
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 239.80606
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 244.04248
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 236.96491
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 323.23506
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` 219.86277
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 315.21112
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 222.96383
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 235.37463
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 236.17365
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 226.87284
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 334.18739
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` 220.33127
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 228.35567
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 213.89213
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 212.12935
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 211.42460
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 211.73986
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 284.15487
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` 215.73683
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 292.27239
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 282.81625
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 237.67510
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 239.76987
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 245.77482
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` 369.50580
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 791.98164
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 234.94164
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 229.17708
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 212.55184
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 214.18899
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 215.12090
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 240.82103
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` 218.24308
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 228.52843
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 229.70503
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 212.48510
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 213.60052
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 215.31319
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 241.79982
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 791.98164
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 218.22268
## `prdl.my.descr.fctrUnknown#1:biddable` 150.96577
## `prdl.my.descr.fctriPad 1#0:biddable` 47.57471
## `prdl.my.descr.fctriPad 1#1:biddable` 59.30784
## `prdl.my.descr.fctriPad 2#0:biddable` 46.64483
## `prdl.my.descr.fctriPad 2#1:biddable` 48.63237
## `prdl.my.descr.fctriPad 3+#0:biddable` 49.43760
## `prdl.my.descr.fctriPad 3+#1:biddable` 47.17740
## `prdl.my.descr.fctriPadAir#0:biddable` 41.86743
## `prdl.my.descr.fctriPadAir#1:biddable` 67.20991
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 48.02346
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 115.42152
## `prdl.my.descr.fctriPadmini#0:biddable` 45.60403
## `prdl.my.descr.fctriPadmini#1:biddable` 59.20839
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 151.94409
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 87.28052
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 89.56480
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 74.19457
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 85.61385
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 74.90982
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 83.95152
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 74.38982
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 88.13545
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 117.59286
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 238.92797
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 69.54833
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 77.63516
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 133.21657
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 115.52646
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 156.03243
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 115.89660
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 110.60671
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 152.13110
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 137.30143
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 136.66988
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 177.58270
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 109.44629
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 109.46717
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 48.61953
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 52.85987
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 55.58340
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 791.98164
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 200.61023
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 791.98164
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 194.76301
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 188.17147
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 178.77213
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 175.48192
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 200.66956
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 168.87734
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 174.08435
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 189.57624
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 399.44605
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 178.14413
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 182.04845
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 148.94082
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 99.88501
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 109.86924
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 87.11296
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 95.17647
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 100.35497
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 97.18129
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 101.83531
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 791.98164
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 99.29481
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 156.42311
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 286.15473
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 255.40080
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 257.93771
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 258.07656
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 345.68597
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 791.98164
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 791.98164
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 262.38578
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 88.68499
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 237.27658
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 85.92218
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 791.98164
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 81.08040
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 97.24951
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 81.26013
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 347.33188
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 69.05034
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 91.10844
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 135.97510
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 52.48742
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 60.22577
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 51.46937
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 58.07960
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 52.37083
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 59.81007
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 72.25401
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 88.05001
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 74.51913
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 139.49783
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 52.68594
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 67.63083
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 187.41301
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 71.25400
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 78.42783
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 55.72367
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 67.45178
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 55.46625
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 67.14516
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 77.43545
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 89.73429
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 76.08586
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 106.89530
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 65.44808
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 79.26007
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 309.10146
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 287.63565
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 288.09434
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 288.00790
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 282.80560
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 141.73045
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 148.81412
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 122.79777
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 126.51163
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 126.54687
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 154.45787
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 287.51433
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 286.46926
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 344.82257
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 294.01844
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 294.38025
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 294.56526
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 289.89814
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 154.55457
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 162.14204
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 137.48958
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 147.03957
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 143.24981
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` 357.66269
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 295.46549
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 292.83238
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 313.69307
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 290.23010
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 290.63130
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 292.04135
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 287.43935
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 148.64938
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 151.59481
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 128.68257
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 141.06369
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 133.78870
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 209.63810
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 291.22538
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 290.03594
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 302.60133
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 291.26617
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 293.52167
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` 295.83402
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 297.08659
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 152.04205
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 165.18867
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 791.98164
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 219.89342
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 157.68854
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 199.93623
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 288.99167
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 299.21208
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.12874
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.05776
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.06671
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.05916
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.06298
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.05766
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.06128
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.05398
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.06526
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.05777
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.11932
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.05627
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.06445
## `cellular.fctr1:carrier.fctrNone` 791.98164
## `cellular.fctrUnknown:carrier.fctrNone` 791.98164
## `cellular.fctr1:carrier.fctrOther` 461.08461
## `cellular.fctrUnknown:carrier.fctrOther` 791.98164
## `cellular.fctr1:carrier.fctrSprint` 458.19475
## `cellular.fctrUnknown:carrier.fctrSprint` 791.98164
## `cellular.fctr1:carrier.fctrT-Mobile` 458.05763
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 791.98164
## `cellular.fctr1:carrier.fctrUnknown` 411.65929
## `cellular.fctrUnknown:carrier.fctrUnknown` 549.70169
## `cellular.fctr1:carrier.fctrVerizon` 457.38030
## `cellular.fctrUnknown:carrier.fctrVerizon` 791.98164
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 122.20480
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 46.82459
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 43.55592
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 45.34036
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 34.18017
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 80.56393
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 57.14474
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 99.70739
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 58.22435
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 58.43364
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 59.44558
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 83.88864
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 219.81159
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 67.60263
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 132.31499
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 52.73336
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 43.34781
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 96.56182
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 83.44885
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 54.73362
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 81.04880
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 57.84439
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 53.80924
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 103.60366
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 62.84407
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 65.15363
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 79.40198
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 54.03783
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 791.98164
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 88.03238
## t value
## (Intercept) 0.203
## `prdl.my.descr.fctrUnknown#1` 0.069
## `prdl.my.descr.fctriPad 1#0` -0.060
## `prdl.my.descr.fctriPad 1#1` -0.523
## `prdl.my.descr.fctriPad 2#0` 0.018
## `prdl.my.descr.fctriPad 2#1` 0.126
## `prdl.my.descr.fctriPad 3+#0` 0.055
## `prdl.my.descr.fctriPad 3+#1` -0.351
## `prdl.my.descr.fctriPadAir#0` 0.321
## `prdl.my.descr.fctriPadAir#1` 0.738
## `prdl.my.descr.fctriPadmini 2+#0` 0.327
## `prdl.my.descr.fctriPadmini 2+#1` -0.056
## `prdl.my.descr.fctriPadmini#0` 0.033
## `prdl.my.descr.fctriPadmini#1` -0.038
## D.ratio.nstopwrds.nwrds -0.607
## .rnorm 0.912
## D.npnct14.log -0.654
## D.terms.n.stem.stop.Ratio -0.003
## D.ndgts.log -0.933
## D.npnct05.log -0.374
## D.npnct15.log -1.097
## D.npnct12.log 0.176
## D.npnct06.log -0.614
## D.npnct03.log 0.500
## D.npnct11.log -1.035
## D.npnct13.log -0.548
## D.nwrds.log 0.886
## D.terms.n.post.stop.log 0.031
## D.nwrds.unq.log 0.028
## D.terms.n.post.stem.log 0.028
## D.nuppr.log -0.108
## D.TfIdf.sum.post.stem -0.008
## D.sum.TfIdf -0.008
## D.npnct24.log -0.061
## D.TfIdf.sum.post.stop 0.035
## D.ratio.sum.TfIdf.nwrds -0.186
## D.nchrs.log -0.175
## D.TfIdf.sum.stem.stop.Ratio 0.345
## D.npnct16.log 0.323
## D.npnct01.log 0.187
## D.nstopwrds.log 0.122
## D.npnct08.log 0.120
## D.terms.n.post.stop 0.072
## D.terms.n.post.stem -0.107
## biddable -3.858
## `condition.fctrFor parts or not working` -1.413
## `condition.fctrManufacturer refurbished` 0.743
## condition.fctrNew 1.130
## `condition.fctrNew other (see details)` 0.135
## `condition.fctrSeller refurbished` 0.281
## color.fctrGold 0.091
## `color.fctrSpace Gray` 1.200
## color.fctrUnknown -0.449
## color.fctrWhite 1.300
## storage.fctr16 -0.485
## storage.fctr32 -0.397
## storage.fctr64 0.046
## storage.fctrUnknown -0.531
## idseq.my 1.111
## cellular.fctr1 0.016
## cellular.fctrUnknown -0.018
## carrier.fctrNone 0.004
## carrier.fctrOther 0.039
## carrier.fctrSprint -0.065
## `carrier.fctrT-Mobile` 0.009
## carrier.fctrUnknown 0.005
## carrier.fctrVerizon 0.004
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` -0.397
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.200
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` -0.168
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.189
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` -0.031
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` -0.058
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 0.110
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.695
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` -0.060
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.208
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 0.018
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.075
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 0.055
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.085
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 0.321
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` -0.393
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 0.327
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` -0.006
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 0.033
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` -0.329
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.428
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.207
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.330
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` -0.374
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.253
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` -0.142
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 0.000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` -0.346
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.051
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` -0.364
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 0.000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.165
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 0.000
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## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 0.000
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## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 0.000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` -0.198
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## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 0.000
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## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 0.000
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## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.030
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.041
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 0.000
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## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 0.000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 0.196
## `prdl.my.descr.fctrUnknown#1:biddable` -0.469
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## `prdl.my.descr.fctriPad 1#1:biddable` 1.038
## `prdl.my.descr.fctriPad 2#0:biddable` 0.520
## `prdl.my.descr.fctriPad 2#1:biddable` 0.350
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.082
## `prdl.my.descr.fctriPad 3+#1:biddable` -0.140
## `prdl.my.descr.fctriPadAir#0:biddable` -1.803
## `prdl.my.descr.fctriPadAir#1:biddable` 0.424
## `prdl.my.descr.fctriPadmini 2+#0:biddable` -1.877
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.531
## `prdl.my.descr.fctriPadmini#0:biddable` 0.663
## `prdl.my.descr.fctriPadmini#1:biddable` 0.878
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.115
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.335
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.304
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 1.014
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.084
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.268
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.409
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` -0.492
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.380
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.550
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` -0.197
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.524
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.041
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` -0.945
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` -0.713
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` -0.450
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` -0.899
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` -1.149
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` -0.046
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` -1.275
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.017
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.413
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.294
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` -0.137
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.349
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.406
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.034
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 0.000
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` -0.003
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 0.000
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` -0.194
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` -0.451
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` -0.039
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.149
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` -0.284
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.446
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` -0.130
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.917
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` -0.236
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.046
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 0.194
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` -0.798
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` -0.372
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` -0.392
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` -0.047
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` -0.398
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` -0.836
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` -0.118
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` -1.883
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 0.000
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` -0.406
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 1.181
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` -0.143
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.047
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.004
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` -0.151
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 0.281
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 0.000
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 0.000
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` -0.271
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.124
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` -0.190
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.445
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 0.000
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.795
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` -2.286
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` -0.836
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.050
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` -0.683
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` -0.898
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 1.034
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.209
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.506
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` -0.457
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` -0.175
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` -0.268
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` -0.362
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 2.123
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` -1.605
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` -0.087
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.273
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.735
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` -0.169
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` -0.419
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` -0.986
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` -0.781
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` -1.218
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` -0.645
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## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` -1.120
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.701
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## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` -1.033
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 1.175
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` -0.313
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` -1.018
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.078
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.019
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` -0.201
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.096
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.077
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.246
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.711
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` -1.629
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` -0.025
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` -0.653
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` -0.560
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` -0.075
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.071
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` -0.187
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.035
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` -0.250
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.038
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.159
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.325
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.615
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` -1.396
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` -0.310
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` -0.029
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` -0.070
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.189
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` -0.163
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.074
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` -0.167
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` -0.382
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` -0.075
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` -0.104
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.025
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.519
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` -1.418
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 1.148
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` -0.487
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` -0.114
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` -0.096
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` -0.155
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 0.148
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 0.029
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 0.180
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` -0.033
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 0.030
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 1.079
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.487
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 0.000
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` -0.330
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.699
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 1.407
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 0.026
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 0.193
## `prdl.my.descr.fctrUnknown#1:idseq.my` -1.329
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## `prdl.my.descr.fctriPad 1#1:idseq.my` -0.563
## `prdl.my.descr.fctriPad 2#0:idseq.my` -1.211
## `prdl.my.descr.fctriPad 2#1:idseq.my` -0.460
## `prdl.my.descr.fctriPad 3+#0:idseq.my` -1.225
## `prdl.my.descr.fctriPad 3+#1:idseq.my` -1.492
## `prdl.my.descr.fctriPadAir#0:idseq.my` -1.303
## `prdl.my.descr.fctriPadAir#1:idseq.my` -2.439
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` -2.335
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` -0.177
## `prdl.my.descr.fctriPadmini#0:idseq.my` -1.051
## `prdl.my.descr.fctriPadmini#1:idseq.my` -0.924
## `cellular.fctr1:carrier.fctrNone` 0.000
## `cellular.fctrUnknown:carrier.fctrNone` 0.000
## `cellular.fctr1:carrier.fctrOther` 0.039
## `cellular.fctrUnknown:carrier.fctrOther` 0.000
## `cellular.fctr1:carrier.fctrSprint` -0.065
## `cellular.fctrUnknown:carrier.fctrSprint` 0.000
## `cellular.fctr1:carrier.fctrT-Mobile` 0.009
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 0.000
## `cellular.fctr1:carrier.fctrUnknown` 0.025
## `cellular.fctrUnknown:carrier.fctrUnknown` -0.018
## `cellular.fctr1:carrier.fctrVerizon` 0.004
## `cellular.fctrUnknown:carrier.fctrVerizon` 0.000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` -1.776
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` -0.259
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` -0.293
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` -0.683
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` -1.206
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.063
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 1.103
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` -0.733
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.202
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` -0.172
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` -1.223
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.262
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.606
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.266
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` -1.653
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.267
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` -0.375
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` -0.765
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` -0.733
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 1.511
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.231
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` -1.022
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.509
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` -0.095
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.674
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` -0.041
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.280
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 1.091
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 0.000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` -0.134
## Pr(>|t|)
## (Intercept) 0.838862
## `prdl.my.descr.fctrUnknown#1` 0.944945
## `prdl.my.descr.fctriPad 1#0` 0.952229
## `prdl.my.descr.fctriPad 1#1` 0.600940
## `prdl.my.descr.fctriPad 2#0` 0.985504
## `prdl.my.descr.fctriPad 2#1` 0.899613
## `prdl.my.descr.fctriPad 3+#0` 0.955870
## `prdl.my.descr.fctriPad 3+#1` 0.725553
## `prdl.my.descr.fctriPadAir#0` 0.748345
## `prdl.my.descr.fctriPadAir#1` 0.460672
## `prdl.my.descr.fctriPadmini 2+#0` 0.744083
## `prdl.my.descr.fctriPadmini 2+#1` 0.955150
## `prdl.my.descr.fctriPadmini#0` 0.973894
## `prdl.my.descr.fctriPadmini#1` 0.969864
## D.ratio.nstopwrds.nwrds 0.544312
## .rnorm 0.362358
## D.npnct14.log 0.513728
## D.terms.n.stem.stop.Ratio 0.997497
## D.ndgts.log 0.351196
## D.npnct05.log 0.708622
## D.npnct15.log 0.273331
## D.npnct12.log 0.860602
## D.npnct06.log 0.539310
## D.npnct03.log 0.617570
## D.npnct11.log 0.301216
## D.npnct13.log 0.584314
## D.nwrds.log 0.376093
## D.terms.n.post.stop.log 0.974890
## D.nwrds.unq.log 0.977304
## D.terms.n.post.stem.log 0.977304
## D.nuppr.log 0.914445
## D.TfIdf.sum.post.stem 0.993793
## D.sum.TfIdf 0.993793
## D.npnct24.log 0.951288
## D.TfIdf.sum.post.stop 0.971739
## D.ratio.sum.TfIdf.nwrds 0.852818
## D.nchrs.log 0.861337
## D.TfIdf.sum.stem.stop.Ratio 0.730315
## D.npnct16.log 0.746579
## D.npnct01.log 0.851738
## D.nstopwrds.log 0.902714
## D.npnct08.log 0.904266
## D.terms.n.post.stop 0.942723
## D.terms.n.post.stem 0.914509
## biddable 0.000134
## `condition.fctrFor parts or not working` 0.158413
## `condition.fctrManufacturer refurbished` 0.458198
## condition.fctrNew 0.259095
## `condition.fctrNew other (see details)` 0.892770
## `condition.fctrSeller refurbished` 0.778544
## color.fctrGold 0.927370
## `color.fctrSpace Gray` 0.230728
## color.fctrUnknown 0.653886
## color.fctrWhite 0.194372
## storage.fctr16 0.627877
## storage.fctr32 0.691294
## storage.fctr64 0.962944
## storage.fctrUnknown 0.595607
## idseq.my 0.267099
## cellular.fctr1 0.986932
## cellular.fctrUnknown 0.985998
## carrier.fctrNone 0.997039
## carrier.fctrOther 0.969059
## carrier.fctrSprint 0.948338
## `carrier.fctrT-Mobile` 0.992612
## carrier.fctrUnknown 0.995789
## carrier.fctrVerizon 0.996687
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log` 0.691866
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log` 0.841437
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log` 0.866699
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log` 0.850356
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log` 0.975228
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log` 0.954112
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log` 0.912113
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio` 0.487690
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio` 0.952229
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio` 0.835089
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio` 0.985504
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio` 0.940202
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio` 0.955870
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio` 0.932062
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio` 0.748345
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio` 0.694454
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio` 0.744083
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio` 0.995291
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio` 0.973894
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio` 0.742530
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log` 0.668799
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log` 0.836488
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log` 0.741843
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log` 0.708663
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log` 0.800422
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log` 0.886995
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log` 0.729190
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log` 0.959621
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log` 0.716314
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log` 0.868823
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log` 0.620967
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log` 0.899821
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log` 0.473054
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log` 0.833692
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log` 0.915168
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log` 0.847685
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log` 0.997456
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log` 0.948322
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log` 0.967232
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log` 0.743753
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log` 0.863108
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log` 0.653566
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log` 0.875136
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log` 0.822171
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log` 0.931822
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log` 0.778167
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log` 0.679648
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log` 1.000000
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop` 0.540084
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop` 0.936735
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop` 0.819826
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop` 0.925501
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop` 0.990466
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop` 0.960854
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop` 0.842816
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem` 0.616773
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem` 0.961766
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem` 0.815577
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem` 0.976426
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem` 0.967095
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem` 0.895014
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem` 1.000000
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem` 0.844864
## `prdl.my.descr.fctrUnknown#1:biddable` 0.639142
## `prdl.my.descr.fctriPad 1#0:biddable` 0.094727
## `prdl.my.descr.fctriPad 1#1:biddable` 0.299878
## `prdl.my.descr.fctriPad 2#0:biddable` 0.603493
## `prdl.my.descr.fctriPad 2#1:biddable` 0.726538
## `prdl.my.descr.fctriPad 3+#0:biddable` 0.934352
## `prdl.my.descr.fctriPad 3+#1:biddable` 0.888413
## `prdl.my.descr.fctriPadAir#0:biddable` 0.072171
## `prdl.my.descr.fctriPadAir#1:biddable` 0.671680
## `prdl.my.descr.fctriPadmini 2+#0:biddable` 0.061193
## `prdl.my.descr.fctriPadmini 2+#1:biddable` 0.595480
## `prdl.my.descr.fctriPadmini#0:biddable` 0.507790
## `prdl.my.descr.fctriPadmini#1:biddable` 0.380707
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working` 0.908895
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working` 0.738005
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working` 0.761322
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working` 0.311212
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working` 0.933479
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working` 0.789221
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working` 0.682762
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working` 0.623159
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working` 0.704326
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working` 0.582363
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working` 0.843749
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working` 0.600321
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working` 0.967607
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished` 0.345104
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished` 0.476293
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished` 0.652597
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished` 0.369442
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished` 0.251447
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished` 0.963500
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished` 0.203024
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished` 0.986116
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished` 0.680134
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew` 0.768567
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew` 0.891151
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew` 0.727290
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew` 0.685044
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew` 0.972698
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew` 1.000000
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)` 0.997723
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)` 1.000000
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)` 0.846581
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)` 0.652568
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)` 0.969018
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)` 0.881618
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)` 0.776594
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)` 0.655672
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)` 0.896764
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)` 0.359794
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)` 0.813933
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)` 0.963390
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)` 0.846572
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished` 0.425441
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished` 0.710042
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished` 0.695369
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished` 0.962592
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished` 0.691099
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished` 0.403877
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished` 0.906500
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` 0.060362
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished` 1.000000
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished` 0.685102
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished` 0.238185
## `prdl.my.descr.fctrUnknown#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 1#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 1#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 2#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 2#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold` 0.886203
## `prdl.my.descr.fctriPadAir#0:color.fctrGold` 0.962254
## `prdl.my.descr.fctriPadAir#1:color.fctrGold` 0.997058
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold` 0.880311
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold` 0.779035
## `prdl.my.descr.fctriPadmini#0:color.fctrGold` 1.000000
## `prdl.my.descr.fctriPadmini#1:color.fctrGold` 1.000000
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray` 0.786271
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray` 0.901338
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray` 0.849714
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray` 0.656285
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray` 1.000000
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray` 0.427062
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` 0.022796
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray` 0.403893
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray` 0.959991
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray` 0.494744
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray` 0.369888
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown` 0.301603
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown` 0.834602
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown` 0.613264
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown` 0.648165
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown` 0.861179
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown` 0.788607
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown` 0.717721
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` 0.034361
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown` 0.109352
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown` 0.930891
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown` 0.785084
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown` 0.462789
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown` 0.865855
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite` 0.675593
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite` 0.324518
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite` 0.435487
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite` 0.224059
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite` 0.519091
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite` 0.263641
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite` 0.263197
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite` 0.483987
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite` 0.225898
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite` 0.302347
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite` 0.240562
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite` 0.754806
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite` 0.309241
## `prdl.my.descr.fctrUnknown#1:storage.fctr16` 0.938026
## `prdl.my.descr.fctriPad 1#0:storage.fctr16` 0.984605
## `prdl.my.descr.fctriPad 1#1:storage.fctr16` 0.840450
## `prdl.my.descr.fctriPad 2#0:storage.fctr16` 0.923655
## `prdl.my.descr.fctriPad 2#1:storage.fctr16` 0.938517
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16` 0.805506
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16` 0.477408
## `prdl.my.descr.fctriPadAir#0:storage.fctr16` 0.104031
## `prdl.my.descr.fctriPadAir#1:storage.fctr16` 0.980418
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16` 0.514281
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16` 0.575505
## `prdl.my.descr.fctriPadmini#0:storage.fctr16` 0.940205
## `prdl.my.descr.fctriPadmini#1:storage.fctr16` 0.943449
## `prdl.my.descr.fctrUnknown#1:storage.fctr32` 0.852001
## `prdl.my.descr.fctriPad 1#0:storage.fctr32` 0.972393
## `prdl.my.descr.fctriPad 1#1:storage.fctr32` 0.802861
## `prdl.my.descr.fctriPad 2#0:storage.fctr32` 0.969670
## `prdl.my.descr.fctriPad 2#1:storage.fctr32` 0.873953
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32` 0.745038
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32` 0.538781
## `prdl.my.descr.fctriPadAir#0:storage.fctr32` 0.163401
## `prdl.my.descr.fctriPadAir#1:storage.fctr32` 0.756633
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32` 0.976618
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32` 0.943942
## `prdl.my.descr.fctriPadmini#0:storage.fctr32` 0.850296
## `prdl.my.descr.fctriPadmini#1:storage.fctr32` 0.870766
## `prdl.my.descr.fctrUnknown#1:storage.fctr64` 0.941304
## `prdl.my.descr.fctriPad 1#0:storage.fctr64` 0.867537
## `prdl.my.descr.fctriPad 1#1:storage.fctr64` 0.702603
## `prdl.my.descr.fctriPad 2#0:storage.fctr64` 0.940455
## `prdl.my.descr.fctriPad 2#1:storage.fctr64` 0.917241
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64` 0.979678
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64` 0.603890
## `prdl.my.descr.fctriPadAir#0:storage.fctr64` 0.157049
## `prdl.my.descr.fctriPadAir#1:storage.fctr64` 0.251736
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64` 0.626690
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64` 0.909201
## `prdl.my.descr.fctriPadmini#0:storage.fctr64` 0.923326
## `prdl.my.descr.fctriPadmini#1:storage.fctr64` 0.877074
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown` 0.882072
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown` 0.976770
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown` 0.857114
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown` 0.973672
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown` 0.976135
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown` 0.281289
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown` 0.626647
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown` 1.000000
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown` 0.741412
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown` 0.485162
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown` 0.160146
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown` 0.979316
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown` 0.846973
## `prdl.my.descr.fctrUnknown#1:idseq.my` 0.184627
## `prdl.my.descr.fctriPad 1#0:idseq.my` 0.330523
## `prdl.my.descr.fctriPad 1#1:idseq.my` 0.573435
## `prdl.my.descr.fctriPad 2#0:idseq.my` 0.226720
## `prdl.my.descr.fctriPad 2#1:idseq.my` 0.645619
## `prdl.my.descr.fctriPad 3+#0:idseq.my` 0.221394
## `prdl.my.descr.fctriPad 3+#1:idseq.my` 0.136430
## `prdl.my.descr.fctriPadAir#0:idseq.my` 0.193380
## `prdl.my.descr.fctriPadAir#1:idseq.my` 0.015170
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` 0.020049
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my` 0.859403
## `prdl.my.descr.fctriPadmini#0:idseq.my` 0.293906
## `prdl.my.descr.fctriPadmini#1:idseq.my` 0.356056
## `cellular.fctr1:carrier.fctrNone` 1.000000
## `cellular.fctrUnknown:carrier.fctrNone` 1.000000
## `cellular.fctr1:carrier.fctrOther` 0.969059
## `cellular.fctrUnknown:carrier.fctrOther` 1.000000
## `cellular.fctr1:carrier.fctrSprint` 0.948338
## `cellular.fctrUnknown:carrier.fctrSprint` 1.000000
## `cellular.fctr1:carrier.fctrT-Mobile` 0.992612
## `cellular.fctrUnknown:carrier.fctrT-Mobile` 1.000000
## `cellular.fctr1:carrier.fctrUnknown` 0.979761
## `cellular.fctrUnknown:carrier.fctrUnknown` 0.985998
## `cellular.fctr1:carrier.fctrVerizon` 0.996687
## `cellular.fctrUnknown:carrier.fctrVerizon` 1.000000
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` 0.076576
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2` 0.795694
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2` 0.769884
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2` 0.494846
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2` 0.228418
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2` 0.949987
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2` 0.270823
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3` 0.463805
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3` 0.840240
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3` 0.863248
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3` 0.222156
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3` 0.793662
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3` 0.544805
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3` 0.790353
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` 0.099138
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4` 0.789442
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4` 0.707516
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4` 0.444429
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4` 0.464152
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4` 0.131487
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5` 0.817274
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5` 0.307378
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5` 0.610955
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5` 0.924194
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5` 0.500552
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6` 0.967491
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6` 0.779483
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6` 0.275878
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7` 1.000000
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7` 0.893157
##
## (Intercept)
## `prdl.my.descr.fctrUnknown#1`
## `prdl.my.descr.fctriPad 1#0`
## `prdl.my.descr.fctriPad 1#1`
## `prdl.my.descr.fctriPad 2#0`
## `prdl.my.descr.fctriPad 2#1`
## `prdl.my.descr.fctriPad 3+#0`
## `prdl.my.descr.fctriPad 3+#1`
## `prdl.my.descr.fctriPadAir#0`
## `prdl.my.descr.fctriPadAir#1`
## `prdl.my.descr.fctriPadmini 2+#0`
## `prdl.my.descr.fctriPadmini 2+#1`
## `prdl.my.descr.fctriPadmini#0`
## `prdl.my.descr.fctriPadmini#1`
## D.ratio.nstopwrds.nwrds
## .rnorm
## D.npnct14.log
## D.terms.n.stem.stop.Ratio
## D.ndgts.log
## D.npnct05.log
## D.npnct15.log
## D.npnct12.log
## D.npnct06.log
## D.npnct03.log
## D.npnct11.log
## D.npnct13.log
## D.nwrds.log
## D.terms.n.post.stop.log
## D.nwrds.unq.log
## D.terms.n.post.stem.log
## D.nuppr.log
## D.TfIdf.sum.post.stem
## D.sum.TfIdf
## D.npnct24.log
## D.TfIdf.sum.post.stop
## D.ratio.sum.TfIdf.nwrds
## D.nchrs.log
## D.TfIdf.sum.stem.stop.Ratio
## D.npnct16.log
## D.npnct01.log
## D.nstopwrds.log
## D.npnct08.log
## D.terms.n.post.stop
## D.terms.n.post.stem
## biddable ***
## `condition.fctrFor parts or not working`
## `condition.fctrManufacturer refurbished`
## condition.fctrNew
## `condition.fctrNew other (see details)`
## `condition.fctrSeller refurbished`
## color.fctrGold
## `color.fctrSpace Gray`
## color.fctrUnknown
## color.fctrWhite
## storage.fctr16
## storage.fctr32
## storage.fctr64
## storage.fctrUnknown
## idseq.my
## cellular.fctr1
## cellular.fctrUnknown
## carrier.fctrNone
## carrier.fctrOther
## carrier.fctrSprint
## `carrier.fctrT-Mobile`
## carrier.fctrUnknown
## carrier.fctrVerizon
## `prdl.my.descr.fctrUnknown#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 1#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 2#1:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#0:D.nchrs.log`
## `prdl.my.descr.fctriPad 3+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#0:D.nchrs.log`
## `prdl.my.descr.fctriPadAir#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#0:D.nchrs.log`
## `prdl.my.descr.fctriPadmini#1:D.nchrs.log`
## `prdl.my.descr.fctrUnknown#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 2#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPad 3+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadAir#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini 2+#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#0:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctriPadmini#1:D.TfIdf.sum.stem.stop.Ratio`
## `prdl.my.descr.fctrUnknown#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct16.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct16.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct16.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct16.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct01.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct01.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct01.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct01.log`
## `prdl.my.descr.fctrUnknown#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 1#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 2#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPad 3+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadAir#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#0:D.nstopwrds.log`
## `prdl.my.descr.fctriPadmini#1:D.nstopwrds.log`
## `prdl.my.descr.fctrUnknown#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 1#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 2#1:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#0:D.npnct08.log`
## `prdl.my.descr.fctriPad 3+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#0:D.npnct08.log`
## `prdl.my.descr.fctriPadAir#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini 2+#1:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#0:D.npnct08.log`
## `prdl.my.descr.fctriPadmini#1:D.npnct08.log`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stop`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stop`
## `prdl.my.descr.fctrUnknown#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 1#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 2#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPad 3+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadAir#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini 2+#1:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#0:D.terms.n.post.stem`
## `prdl.my.descr.fctriPadmini#1:D.terms.n.post.stem`
## `prdl.my.descr.fctrUnknown#1:biddable`
## `prdl.my.descr.fctriPad 1#0:biddable` .
## `prdl.my.descr.fctriPad 1#1:biddable`
## `prdl.my.descr.fctriPad 2#0:biddable`
## `prdl.my.descr.fctriPad 2#1:biddable`
## `prdl.my.descr.fctriPad 3+#0:biddable`
## `prdl.my.descr.fctriPad 3+#1:biddable`
## `prdl.my.descr.fctriPadAir#0:biddable` .
## `prdl.my.descr.fctriPadAir#1:biddable`
## `prdl.my.descr.fctriPadmini 2+#0:biddable` .
## `prdl.my.descr.fctriPadmini 2+#1:biddable`
## `prdl.my.descr.fctriPadmini#0:biddable`
## `prdl.my.descr.fctriPadmini#1:biddable`
## `prdl.my.descr.fctrUnknown#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 1#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 2#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadAir#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#0:condition.fctrFor parts or not working`
## `prdl.my.descr.fctriPadmini#1:condition.fctrFor parts or not working`
## `prdl.my.descr.fctrUnknown#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrManufacturer refurbished`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew`
## `prdl.my.descr.fctrUnknown#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 1#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 2#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadAir#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#0:condition.fctrNew other (see details)`
## `prdl.my.descr.fctriPadmini#1:condition.fctrNew other (see details)`
## `prdl.my.descr.fctrUnknown#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 1#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 2#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPad 3+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadAir#1:condition.fctrSeller refurbished` .
## `prdl.my.descr.fctriPadmini 2+#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini 2+#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#0:condition.fctrSeller refurbished`
## `prdl.my.descr.fctriPadmini#1:condition.fctrSeller refurbished`
## `prdl.my.descr.fctrUnknown#1:color.fctrGold`
## `prdl.my.descr.fctriPad 1#0:color.fctrGold`
## `prdl.my.descr.fctriPad 1#1:color.fctrGold`
## `prdl.my.descr.fctriPad 2#0:color.fctrGold`
## `prdl.my.descr.fctriPad 2#1:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#0:color.fctrGold`
## `prdl.my.descr.fctriPad 3+#1:color.fctrGold`
## `prdl.my.descr.fctriPadAir#0:color.fctrGold`
## `prdl.my.descr.fctriPadAir#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrGold`
## `prdl.my.descr.fctriPadmini#0:color.fctrGold`
## `prdl.my.descr.fctriPadmini#1:color.fctrGold`
## `prdl.my.descr.fctrUnknown#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 1#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 2#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPad 3+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadAir#1:color.fctrSpace Gray` *
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#0:color.fctrSpace Gray`
## `prdl.my.descr.fctriPadmini#1:color.fctrSpace Gray`
## `prdl.my.descr.fctrUnknown#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:color.fctrUnknown` *
## `prdl.my.descr.fctriPadAir#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:color.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:color.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 1#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 2#1:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#0:color.fctrWhite`
## `prdl.my.descr.fctriPad 3+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#0:color.fctrWhite`
## `prdl.my.descr.fctriPadAir#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini 2+#1:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#0:color.fctrWhite`
## `prdl.my.descr.fctriPadmini#1:color.fctrWhite`
## `prdl.my.descr.fctrUnknown#1:storage.fctr16`
## `prdl.my.descr.fctriPad 1#0:storage.fctr16`
## `prdl.my.descr.fctriPad 1#1:storage.fctr16`
## `prdl.my.descr.fctriPad 2#0:storage.fctr16`
## `prdl.my.descr.fctriPad 2#1:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr16`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr16`
## `prdl.my.descr.fctriPadAir#0:storage.fctr16`
## `prdl.my.descr.fctriPadAir#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr16`
## `prdl.my.descr.fctriPadmini#0:storage.fctr16`
## `prdl.my.descr.fctriPadmini#1:storage.fctr16`
## `prdl.my.descr.fctrUnknown#1:storage.fctr32`
## `prdl.my.descr.fctriPad 1#0:storage.fctr32`
## `prdl.my.descr.fctriPad 1#1:storage.fctr32`
## `prdl.my.descr.fctriPad 2#0:storage.fctr32`
## `prdl.my.descr.fctriPad 2#1:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr32`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr32`
## `prdl.my.descr.fctriPadAir#0:storage.fctr32`
## `prdl.my.descr.fctriPadAir#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr32`
## `prdl.my.descr.fctriPadmini#0:storage.fctr32`
## `prdl.my.descr.fctriPadmini#1:storage.fctr32`
## `prdl.my.descr.fctrUnknown#1:storage.fctr64`
## `prdl.my.descr.fctriPad 1#0:storage.fctr64`
## `prdl.my.descr.fctriPad 1#1:storage.fctr64`
## `prdl.my.descr.fctriPad 2#0:storage.fctr64`
## `prdl.my.descr.fctriPad 2#1:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#0:storage.fctr64`
## `prdl.my.descr.fctriPad 3+#1:storage.fctr64`
## `prdl.my.descr.fctriPadAir#0:storage.fctr64`
## `prdl.my.descr.fctriPadAir#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctr64`
## `prdl.my.descr.fctriPadmini#0:storage.fctr64`
## `prdl.my.descr.fctriPadmini#1:storage.fctr64`
## `prdl.my.descr.fctrUnknown#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 1#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 2#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPad 3+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadAir#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini 2+#1:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#0:storage.fctrUnknown`
## `prdl.my.descr.fctriPadmini#1:storage.fctrUnknown`
## `prdl.my.descr.fctrUnknown#1:idseq.my`
## `prdl.my.descr.fctriPad 1#0:idseq.my`
## `prdl.my.descr.fctriPad 1#1:idseq.my`
## `prdl.my.descr.fctriPad 2#0:idseq.my`
## `prdl.my.descr.fctriPad 2#1:idseq.my`
## `prdl.my.descr.fctriPad 3+#0:idseq.my`
## `prdl.my.descr.fctriPad 3+#1:idseq.my`
## `prdl.my.descr.fctriPadAir#0:idseq.my`
## `prdl.my.descr.fctriPadAir#1:idseq.my` *
## `prdl.my.descr.fctriPadmini 2+#0:idseq.my` *
## `prdl.my.descr.fctriPadmini 2+#1:idseq.my`
## `prdl.my.descr.fctriPadmini#0:idseq.my`
## `prdl.my.descr.fctriPadmini#1:idseq.my`
## `cellular.fctr1:carrier.fctrNone`
## `cellular.fctrUnknown:carrier.fctrNone`
## `cellular.fctr1:carrier.fctrOther`
## `cellular.fctrUnknown:carrier.fctrOther`
## `cellular.fctr1:carrier.fctrSprint`
## `cellular.fctrUnknown:carrier.fctrSprint`
## `cellular.fctr1:carrier.fctrT-Mobile`
## `cellular.fctrUnknown:carrier.fctrT-Mobile`
## `cellular.fctr1:carrier.fctrUnknown`
## `cellular.fctrUnknown:carrier.fctrUnknown`
## `cellular.fctr1:carrier.fctrVerizon`
## `cellular.fctrUnknown:carrier.fctrVerizon`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr2` .
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr2`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr2`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr3`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr3`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr4` .
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr4`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr4`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr5`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr5`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr6`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr6`
## `prdl.my.descr.fctrUnknown#0:.clusterid.fctr7`
## `prdl.my.descr.fctrUnknown#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 1#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 2#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPad 3+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadAir#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini 2+#1:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#0:.clusterid.fctr7`
## `prdl.my.descr.fctriPadmini#1:.clusterid.fctr7`
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for gaussian family taken to be 8997.113)
##
## Null deviance: 14768530 on 859 degrees of freedom
## Residual deviance: 3580851 on 398 degrees of freedom
## AIC: 10534
##
## Number of Fisher Scoring iterations: 17
##
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.Interact.X.Train.bayesglm bayesglm
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, .rnorm, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 1 37.646 10.448
## max.R.sq.fit min.RMSE.fit min.aic.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.757535 99.70935 10533.97 0.4786078 6.451989
## max.RsquaredSD.fit
## 1 0.1011217## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 1358 11359
## 794 10794
## 1704 11705
## 459 10459
## 1234 11235
## 1299 11300
## description
## 1358
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 459
## 1234
## 1299
## biddable startprice condition cellular carrier color
## 1358 0 595.00 New Unknown Unknown Unknown
## 794 1 525.00 Used 0 None White
## 1704 0 590.00 New Unknown Unknown White
## 459 1 0.99 New 1 Unknown Unknown
## 1234 1 0.99 New other (see details) 1 Unknown Gold
## 1299 1 650.00 New 1 Unknown Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 1358 Unknown Unknown Train <NA> 2.2851702 1359 Unknown
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 1704 16 Unknown Train <NA> 0.6120207 1705 Unknown
## 459 64 iPad mini 3 Train <NA> 0.2140562 459 iPadmini 2+
## 1234 64 iPad Air 2 Train <NA> -0.6666041 1235 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## startprice.log
## 1358 6.38856141
## 794 6.26339826
## 1704 6.38012254
## 459 -0.01005034
## 1234 -0.01005034
## 1299 6.47697236
## descr.my
## 1358
## 794 Excellent Used Condition. Please see all photos and description.
## 1704
## 459
## 1234
## 1299
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 1358 New Unknown Unknown Unknown
## 794 Used 0 None White
## 1704 New Unknown Unknown White
## 459 New 1 Unknown Unknown
## 1234 New other (see details) 1 Unknown Gold
## 1299 New 1 Unknown Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 1358 Unknown 0 0.000000
## 794 128 7 2.079442
## 1704 16 0 0.000000
## 459 64 0 0.000000
## 1234 64 0 0.000000
## 1299 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 1358 0.000000 0 0.000000
## 794 4.983944 7 2.079442
## 1704 0.000000 0 0.000000
## 459 0.000000 0 0.000000
## 1234 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 1358 0.000000 1
## 794 4.925069 1
## 1704 0.000000 1
## 459 0.000000 1
## 1234 0.000000 1
## 1299 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 1358 1.0000000 0.0000000 0.0000000 0 0
## 794 0.9881871 0.3446695 0.4558153 0 0
## 1704 1.0000000 0.0000000 0.0000000 0 0
## 459 1.0000000 0.0000000 0.0000000 0 0
## 1234 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 1358 0 0 0 0 0 0.0000000 0
## 794 0 0 0 0 0 0.6759609 0
## 1704 0 0 0 0 0 0.0000000 0
## 459 0 0 0 0 0 0.0000000 0
## 1234 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 1358 0.0000000 0 0 0.000000 0 0 0
## 794 0.8068089 0 0 0.758499 0 0 0
## 1704 0.0000000 0 0 0.000000 0 0 0
## 459 0.0000000 0 0 0.000000 0 0 0
## 1234 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 1358 0 0.0000000 0 0 0 0
## 794 0 0.9044555 0 0 0 0
## 1704 0 0.0000000 0 0 0 0
## 459 0 0.0000000 0 0 0 0
## 1234 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 1358 0 0 0 0 0 0
## 794 0 0 0 0 0 0
## 1704 0 0 0 0 0 0
## 459 0 0 0 0 0 0
## 1234 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 1358 0 0 0 0 0 0.000000
## 794 0 0 0 0 0 2.302585
## 1704 0 0 0 0 0 0.000000
## 459 0 0 0 0 0 0.000000
## 1234 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 1358 0.000000 0.000000 0.0000000 0.000000
## 794 2.079442 4.925069 0.5472299 4.174387
## 1704 0.000000 0.000000 0.0000000 0.000000
## 459 0.000000 0.000000 0.0000000 0.000000
## 1234 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 1358 0.000000 0 0 0 0
## 794 4.007333 0 0 0 0
## 1704 0.000000 0 0 0 0
## 459 0.000000 0 0 0 0
## 1234 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 1358 0 0 0 0 0.000000
## 794 0 0 0 0 1.098612
## 1704 0 0 0 0 0.000000
## 459 0 0 0 0 0.000000
## 1234 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 1358 0 0 0 0.0000000
## 794 0 0 0 0.6931472
## 1704 0 0 0 0.0000000
## 459 0 0 0 0.0000000
## 1234 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 1358 0.000000 1.0 0 0 0
## 794 1.098612 0.3 0 0 0
## 1704 0.000000 1.0 0 0 0
## 459 0.000000 1.0 0 0 0
## 1234 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 1358 0 Unknown Unknown#0 1
## 794 0 iPadAir iPadAir#1 1
## 1704 0 Unknown Unknown#0 1
## 459 0 iPadmini 2+ iPadmini 2+#0 1
## 1234 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## .clusterid.fctr .lcn startprice.predict.All.Interact.X.glmnet
## 1358 1 Fit 233.6314
## 794 1 Fit 192.0747
## 1704 1 Fit 245.8868
## 459 1 Fit 250.7255
## 1234 1 Fit 263.4710
## 1299 1 Fit 353.6184
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3686
## 794 332.9253
## 1704 344.1132
## 459 249.7355
## 1234 262.4810
## 1299 296.3816
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.6581
## 794 198.9953 326.0047
## 1704 241.5433 348.4567
## 459 234.9612 233.9712
## 1234 285.9075 284.9175
## 1299 305.6479 344.3521
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 794 318.9829
## 1704 400.9275
## 459 140.6210
## 1234 160.2606
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.2840
## 794 206.0171
## 1704 189.0725
## 459 139.6310
## 1234 159.2706
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 794 125.7944
## 1704 224.5690
## 459 141.5008
## 1234 221.8944
## 1299 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.4310
## 794 399.2056
## 1704 365.4310
## 459 140.5108
## 1234 220.9044
## 1299 428.1056
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 794 337.6408
## 1704 401.5837
## 459 132.0807
## 1234 142.8787
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.9979
## 794 187.3592
## 1704 188.4163
## 459 131.0907
## 1234 141.8887
## 1299 253.6246
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.0374
## 794 280.5446 244.4554
## 1704 240.2116 349.7884
## 459 238.4690 237.4790
## 1234 288.5288 287.5388
## 1299 382.2122 267.7878
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 794 290.3568
## 1704 243.4112
## 459 237.1320
## 1234 292.2736
## 1299 382.8107
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.1528 259.1831
## 794 234.6432 293.5478
## 1704 346.5888 243.0785
## 459 236.1420 237.8143
## 1234 291.2836 292.6160
## 1299 267.1893 383.0273
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.8169 259.1831
## 794 231.4522 293.5478
## 1704 346.9215 243.0785
## 459 236.8243 237.8143
## 1234 291.6260 292.6160
## 1299 266.9727 383.0273
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.8169 198.8825
## 794 231.4522 142.7082
## 1704 346.9215 198.8825
## 459 236.8243 170.3522
## 1234 291.6260 237.2502
## 1299 266.9727 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.1175
## 794 382.2918
## 1704 391.1175
## 459 169.3622
## 1234 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 794 155.0292
## 1704 202.5649
## 459 168.4272
## 1234 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.4351
## 794 369.9708
## 1704 387.4351
## 459 167.4372
## 1234 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 794 244.4212
## 1704 330.3139
## 459 258.9864
## 1234 252.3681
## 1299 402.1242
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.7534
## 794 280.5788
## 1704 259.6861
## 459 257.9964
## 1234 251.3781
## 1299 247.8758
## startprice.predict.Max.cor.Y.rpart
## 1358 234.49168
## 794 75.03309
## 1704 234.49168
## 459 75.03309
## 1234 221.89441
## 1299 221.89441
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.50832
## 794 449.96691
## 1704 355.50832
## 459 74.04309
## 1234 220.90441
## 1299 428.10559
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.49168
## 794 75.03309
## 1704 234.49168
## 459 75.03309
## 1234 221.89441
## 1299 221.89441
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.50832
## 794 449.96691
## 1704 355.50832
## 459 74.04309
## 1234 220.90441
## 1299 428.10559
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.49168
## 794 74.98766
## 1704 234.49168
## 459 74.98766
## 1234 224.47493
## 1299 224.47493
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.50832
## 794 450.01234
## 1704 355.50832
## 459 73.99766
## 1234 223.48493
## 1299 425.52507
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 794 192.0747
## 1704 245.8868
## 459 250.7255
## 1234 263.4710
## 1299 353.6184
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3686
## 794 332.9253
## 1704 344.1132
## 459 249.7355
## 1234 262.4810
## 1299 296.3816
## startprice.predict.All.X.no.rnorm.Train.rf
## 1358 329.7160
## 794 318.9829
## 1704 400.9275
## 459 140.6210
## 1234 160.2606
## 1299 400.1281
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1358 265.2840
## 794 206.0171
## 1704 189.0725
## 459 139.6310
## 1234 159.2706
## 1299 249.8719
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1358 234.49168
## 794 75.03309
## 1704 234.49168
## 459 75.03309
## 1234 221.89441
## 1299 221.89441
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1358 360.50832
## 794 449.96691
## 1704 355.50832
## 459 74.04309
## 1234 220.90441
## 1299 428.10559
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1358 342.0021
## 794 337.6408
## 1704 401.5837
## 459 132.0807
## 1234 142.8787
## 1299 396.3754
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1358 252.9979
## 794 187.3592
## 1704 188.4163
## 459 131.0907
## 1234 141.8887
## 1299 253.6246
## startprice.predict.Low.cor.X.Train.lm
## 1358 258.9626
## 794 280.5446
## 1704 240.2116
## 459 238.4690
## 1234 288.5288
## 1299 382.2122
## startprice.predict.Low.cor.X.Train.lm.err
## 1358 336.0374
## 794 244.4554
## 1704 349.7884
## 459 237.4790
## 1234 287.5388
## 1299 267.7878
## startprice.predict.All.X.Train.bayesglm
## 1358 258.8472
## 794 290.3568
## 1704 243.4112
## 459 237.1320
## 1234 292.2736
## 1299 382.8107
## startprice.predict.All.X.Train.bayesglm.err
## 1358 336.1528
## 794 234.6432
## 1704 346.5888
## 459 236.1420
## 1234 291.2836
## 1299 267.1893
## startprice.predict.All.X.Train.lm
## 1358 259.1831
## 794 293.5478
## 1704 243.0785
## 459 237.8143
## 1234 292.6160
## 1299 383.0273
## startprice.predict.All.X.Train.lm.err
## 1358 335.8169
## 794 231.4522
## 1704 346.9215
## 459 236.8243
## 1234 291.6260
## 1299 266.9727
## startprice.predict.All.X.Train.glm
## 1358 259.1831
## 794 293.5478
## 1704 243.0785
## 459 237.8143
## 1234 292.6160
## 1299 383.0273
## startprice.predict.All.X.Train.glm.err
## 1358 335.8169
## 794 231.4522
## 1704 346.9215
## 459 236.8243
## 1234 291.6260
## 1299 266.9727
## startprice.predict.Max.cor.Y.Train.lm
## 1358 198.8825
## 794 142.7082
## 1704 198.8825
## 459 170.3522
## 1234 237.2502
## 1299 237.2502
## startprice.predict.Max.cor.Y.Train.lm.err
## 1358 396.1175
## 794 382.2918
## 1704 391.1175
## 459 169.3622
## 1234 236.2602
## 1299 412.7498
## startprice.predict.Interact.High.cor.Y.Train.lm
## 1358 202.5649
## 794 155.0292
## 1704 202.5649
## 459 168.4272
## 1234 235.7130
## 1299 235.7130
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 1358 392.4351
## 794 369.9708
## 1704 387.4351
## 459 167.4372
## 1234 234.7230
## 1299 414.2870
## startprice.predict.All.Interact.X.Train.bayesglm
## 1358 229.2466
## 794 244.4212
## 1704 330.3139
## 459 258.9864
## 1234 252.3681
## 1299 402.1242
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 1358 365.7534
## 794 280.5788
## 1704 259.6861
## 459 257.9964
## 1234 251.3781
## 1299 247.8758## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 2466 12468
## 1418 11419
## 2427 12429
## 2437 12439
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128 gb ATT factory unlock open box for unlock the ipad
## 1418
## 2427 Light use.
## 2437 Overall very good condition, very minor signs of use.
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 2466 0 800.00 New other (see details) 1 AT&T
## 1418 1 700.00 Used Unknown Unknown
## 2427 1 389.00 Used 0 None
## 2437 0 659.49 Used 1 AT&T
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 2466 Unknown 128 iPad Air 2 Test <NA> -0.14403644 2468
## 1418 Unknown Unknown Unknown Test <NA> 0.61635843 1419
## 2427 Unknown 16 Unknown Test <NA> 1.93450257 2429
## 2437 Space Gray 128 iPad Air 2 Test <NA> -1.03713857 2439
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 2466 iPadAir 6.684612
## 1418 Unknown 6.551080
## 2427 Unknown 5.963579
## 2437 iPadAir 6.491467
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 2466 Ipad air 2 128gb ATT factory unlock open box for unlock the ipad
## 1418
## 2427 Light use.
## 2437 Overall very good condition, very minor signs of use.
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 2466 New other (see details) 1 AT&T Unknown
## 1418 Used Unknown Unknown Unknown
## 2427 Used 0 None Unknown
## 2437 Used 1 AT&T Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 2466 128 8 2.197225
## 1418 Unknown 0 0.000000
## 2427 16 2 1.098612
## 2437 128 6 1.945910
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 2466 7.141834 8 2.197225
## 1418 0.000000 0 0.000000
## 2427 5.021041 2 1.098612
## 2437 4.717469 6 1.945910
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 2466 6.768608 1
## 1418 0.000000 1
## 2427 4.113220 1
## 2437 4.423194 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0.0000000 0.0000000 0 0
## 1396 1.0000000 0.0000000 0.0000000 0 0
## 2466 0.9477409 0.0000000 0.0000000 0 0
## 1418 1.0000000 0.0000000 0.0000000 0 0
## 2427 0.8191967 0.0000000 1.5953536 0 0
## 2437 0.9376202 0.4021144 0.5317845 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0.0000000 0 0 0.3197820 0 0 0.0000000
## 1396 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2466 0.0000000 0 0 0.7035203 0 0 0.4594223
## 1418 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2427 0.0000000 0 0 0.0000000 0 0 0.0000000
## 2437 0.6255884 0 0 0.0000000 0 0 0.0000000
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0.0000000 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2427 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.7508696 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 2466 0 0 0 0 0 0 0
## 1418 0 0 0 0 0 0 0
## 2427 0 0 0 0 0 0 0
## 2437 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0.000000 0 0 0 0 0.000000 0.0000000
## 1396 0.000000 0 0 0 0 0.000000 0.0000000
## 2466 0.000000 0 0 0 0 0.000000 0.5916151
## 1418 0.000000 0 0 0 0 0.000000 0.0000000
## 2427 2.517866 0 0 0 0 0.000000 0.0000000
## 2437 0.000000 0 0 0 0 0.851466 0.0000000
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2427 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 2466 0 0 0 0 0.0000000 0
## 1418 0 0 0 0 0.0000000 0
## 2427 0 0 0 0 0.0000000 0
## 2437 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 2466 0 0 0 0 0 0
## 1418 0 0 0 0 0 0
## 2427 0 0 0 0 0 0
## 2437 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 2466 0 0 0 0 2.639057 2.197225
## 1418 0 0 0 0 0.000000 0.000000
## 2427 0 0 0 0 1.098612 1.098612
## 2437 0 0 0 0 2.302585 1.945910
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 2466 6.768608 0.5206622 4.174387 3.891820
## 1418 0.000000 0.0000000 0.000000 0.000000
## 2427 4.113220 2.0566099 2.397895 2.197225
## 2437 4.423194 0.4914660 3.988984 3.784190
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 2466 1.609438 0 0 0 0.0000000
## 1418 0.000000 0 0 0 0.0000000
## 2427 0.000000 0 0 0 0.0000000
## 2437 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.0986123 0
## 1396 0 0.0000000 0 0.0000000 0
## 2466 0 0.0000000 0 0.0000000 0
## 1418 0 0.0000000 0 0.0000000 0
## 2427 0 0.0000000 0 0.6931472 0
## 2437 0 0.6931472 0 0.6931472 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.945910
## 1396 0 0.0000000 0.0000000 0.000000
## 2466 0 0.0000000 0.6931472 1.098612
## 1418 0 0.0000000 0.0000000 0.000000
## 2427 0 0.0000000 0.6931472 0.000000
## 2437 0 0.0000000 0.6931472 1.386294
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 2466 0.2142857 0 1 0 0
## 1418 1.0000000 0 0 0 0
## 2427 0.3333333 0 0 0 0
## 2437 0.4000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 2466 iPadAir iPadAir#1 3 3
## 1418 Unknown Unknown#0 1 1
## 2427 Unknown Unknown#1 2 2
## 2437 iPadAir iPadAir#1 2 2
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 2466 119.73755
## 1418 48.86094
## 2427 120.26984
## 2437 81.76848
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 2466 680.2625
## 1418 651.1391
## 2427 268.7302
## 2437 577.7215
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.16716
## 1396 198.37805
## 2466 297.49502
## 1418 68.68574
## 2427 62.84656
## 2437 302.88097
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 2466 502.5050
## 1418 631.3143
## 2427 326.1534
## 2437 356.6090
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 2466 234.49168
## 1418 75.03309
## 2427 75.03309
## 2437 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 2466 565.5083
## 1418 624.9669
## 2427 313.9669
## 2437 424.9983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 2466 269.80259
## 1418 66.77037
## 2427 70.96963
## 2437 261.25238
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 2466 530.1974
## 1418 633.2296
## 2427 318.0304
## 2437 398.2376
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2271510
## 1396 196.5086283
## 2466 400.8949517
## 1418 55.4959976
## 2427 0.8373899
## 2437 371.8423089
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 2466 399.1050
## 1418 644.5040
## 2427 388.1626
## 2437 287.6477
## startprice.predict.All.X.Train.bayesglm
## 2623 180.26977
## 1396 196.89392
## 2466 418.05825
## 1418 55.03804
## 2427 -18.57314
## 2437 371.26140
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 2466 381.9417
## 1418 644.9620
## 2427 407.5731
## 2437 288.2286
## startprice.predict.All.X.Train.lm
## 2623 194.65243
## 1396 196.67298
## 2466 416.20003
## 1418 55.00877
## 2427 -32.88344
## 2437 367.80615
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 2466 383.8000
## 1418 644.9912
## 2427 421.8834
## 2437 291.6839
## startprice.predict.All.X.Train.glm
## 2623 194.65243
## 1396 196.67298
## 2466 416.20003
## 1418 55.00877
## 2427 -32.88344
## 2437 367.80615
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 2466 383.8000
## 1418 644.9912
## 2427 421.8834
## 2437 291.6839
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.63239
## 1396 210.07166
## 2466 282.43096
## 1418 59.15977
## 2427 84.31705
## 2437 282.43096
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 2466 517.5690
## 1418 640.8402
## 2427 304.6829
## 2437 377.0590
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.67640
## 1396 214.11095
## 2466 274.62163
## 1418 57.43364
## 2427 37.25658
## 2437 274.62163
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 2466 525.3784
## 1418 642.5664
## 2427 351.7434
## 2437 384.8684
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 2466 105.090731
## 1418 48.184032
## 2427 -261.211673
## 2437 19.374719
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 2466 694.9093
## 1418 651.8160
## 2427 650.2117
## 2437 640.1153
## [1] "fitting model: Max.cor.Y.Train.rpart"
## [1] " indep_vars: biddable, prdl.my.descr.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = paste0(c(head(mdl_id_components, -1),
## "Train"), : model's bestTune found at an extreme of tuneGrid for parameter:
## cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.000000
## 2 0.08875699 1 0.770589
## 3 0.06838998 2 0.681832
##
## Variable importance
## biddable prdl.my.descr.fctriPadAir#0
## 72 28
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.02778574, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02715487, (0 missing)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## prdl.my.descr.fctriPad 1#0 < 0.5 to the right, improve=0.02072980, (0 missing)
## prdl.my.descr.fctriPad 1#1 < 0.5 to the right, improve=0.01741560, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.01465991, (0 missing)
## prdl.my.descr.fctriPad 2#1 < 0.5 to the right, improve=0.01383661, (0 missing)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 572 observations
## mean=75.03309, MSE=6729.045
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014 75.03309 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551 221.89440 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## model_id model_method feats
## 1 Max.cor.Y.Train.rpart rpart biddable, prdl.my.descr.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 1.202 0.016
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.318168 107.5255 0.342084 6.490951
## max.RsquaredSD.fit
## 1 0.06028494## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr .lcn startprice.predict.All.Interact.X.glmnet
## 794 1 Fit 192.0747
## 935 1 Fit 503.8885
## 1299 1 Fit 353.6184
## 1523 1 Fit 386.5313
## 803 1 Fit 542.7451
## 1217 1 Fit 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.Train.glmnet
## 794 192.0747
## 935 503.8885
## 1299 353.6184
## 1523 386.5313
## 803 542.7451
## 1217 555.1731
## startprice.predict.All.Interact.X.Train.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.no.rnorm.Train.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.Train.lm
## 794 280.5446
## 935 461.5254
## 1299 382.2122
## 1523 438.0885
## 803 480.8501
## 1217 503.1497
## startprice.predict.Low.cor.X.Train.lm.err
## 794 244.4554
## 935 213.4746
## 1299 267.7878
## 1523 211.9115
## 803 149.1499
## 1217 121.8403
## startprice.predict.All.X.Train.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.Train.bayesglm.err
## 794 234.6432
## 935 212.5398
## 1299 267.1893
## 1523 212.2680
## 803 149.9837
## 1217 116.7427
## startprice.predict.All.X.Train.lm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.lm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.All.X.Train.glm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.glm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.Max.cor.Y.Train.lm
## 794 142.7082
## 935 376.9729
## 1299 237.2502
## 1523 310.0750
## 803 376.9729
## 1217 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1282 454.4696
## 1269 522.7249
## 982 462.0728
## 2423 526.4861
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1282 494.5104
## 1269 416.2751
## 982 437.9272
## 2423 373.5039
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1282 494.0410
## 1269 414.8504
## 982 435.3028
## 2423 370.0083
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1282 310.0750
## 1269 376.9729
## 982 376.9729
## 2423 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## [1] "fitting model: All.X.no.rnorm.Train.rpart"
## [1] " indep_vars: prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = paste0(c(head(mdl_id_components, -1),
## "Train"), : model's bestTune found at an extreme of tuneGrid for parameter:
## cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.000000
## 2 0.08875699 1 0.770589
## 3 0.06838998 2 0.681832
##
## Variable importance
## biddable
## 67
## prdl.my.descr.fctriPadAir#0
## 26
## idseq.my
## 3
## D.npnct15.log
## 2
## D.TfIdf.sum.stem.stop.Ratio
## 1
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5
## 1
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.22941100, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.16167530, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.13039270, (0 missing)
## condition.fctrFor parts or not working < 0.5 to the right, improve=0.05958729, (0 missing)
## prdl.my.descr.fctriPadmini 2+#0 < 0.5 to the left, improve=0.03681654, (0 missing)
## Surrogate splits:
## idseq.my < 1783.5 to the left, agree=0.757, adj=0.050, (0 split)
## D.npnct15.log < 0.3465736 to the left, agree=0.750, adj=0.023, (0 split)
## D.TfIdf.sum.stem.stop.Ratio < 0.8214259 to the right, agree=0.747, adj=0.009, (0 split)
## prdl.my.descr.fctriPadmini#1:.clusterid.fctr5 < 0.5 to the left, agree=0.747, adj=0.009, (0 split)
## D.npnct01.log < 1.242453 to the left, agree=0.745, adj=0.005, (0 split)
##
## Node number 2: 640 observations, complexity param=0.08875699
## mean=90.63711, MSE=11139.65
## left son=4 (572 obs) right son=5 (68 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.18386050, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.10000360, (0 missing)
## idseq.my < 1307.5 to the right, improve=0.05219207, (0 missing)
## condition.fctrFor parts or not working < 0.5 to the right, improve=0.04767237, (0 missing)
## color.fctrSpace Gray < 0.5 to the left, improve=0.04382508, (0 missing)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 572 observations
## mean=75.03309, MSE=6729.045
##
## Node number 5: 68 observations
## mean=221.8944, MSE=28963.99
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0< 0.5 572 3849014 75.03309 *
## 5) prdl.my.descr.fctriPadAir#0>=0.5 68 1969551 221.89440 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.X.no.rnorm.Train.rpart rpart
## feats
## 1 prdl.my.descr.fctr, condition.fctr, D.ratio.nstopwrds.nwrds, D.TfIdf.sum.stem.stop.Ratio, color.fctr, carrier.fctr, storage.fctr, D.npnct14.log, cellular.fctr, D.terms.n.stem.stop.Ratio, D.ndgts.log, idseq.my, D.npnct08.log, D.npnct05.log, D.npnct15.log, D.npnct01.log, D.npnct16.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.nstopwrds.log, D.npnct11.log, D.npnct13.log, D.terms.n.post.stop, D.terms.n.post.stem, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nchrs.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, biddable, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 2.098 0.094
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.318168 107.5255 0.342084 6.490951
## max.RsquaredSD.fit
## 1 0.06028494## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr .lcn startprice.predict.All.Interact.X.glmnet
## 794 1 Fit 192.0747
## 935 1 Fit 503.8885
## 1299 1 Fit 353.6184
## 1523 1 Fit 386.5313
## 803 1 Fit 542.7451
## 1217 1 Fit 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.Train.glmnet
## 794 192.0747
## 935 503.8885
## 1299 353.6184
## 1523 386.5313
## 803 542.7451
## 1217 555.1731
## startprice.predict.All.Interact.X.Train.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.no.rnorm.Train.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.Train.lm
## 794 280.5446
## 935 461.5254
## 1299 382.2122
## 1523 438.0885
## 803 480.8501
## 1217 503.1497
## startprice.predict.Low.cor.X.Train.lm.err
## 794 244.4554
## 935 213.4746
## 1299 267.7878
## 1523 211.9115
## 803 149.1499
## 1217 121.8403
## startprice.predict.All.X.Train.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.Train.bayesglm.err
## 794 234.6432
## 935 212.5398
## 1299 267.1893
## 1523 212.2680
## 803 149.9837
## 1217 116.7427
## startprice.predict.All.X.Train.lm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.lm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.All.X.Train.glm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.glm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.Max.cor.Y.Train.lm
## 794 142.7082
## 935 376.9729
## 1299 237.2502
## 1523 310.0750
## 803 376.9729
## 1217 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1282 454.4696
## 1269 522.7249
## 982 462.0728
## 2423 526.4861
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1282 494.5104
## 1269 416.2751
## 982 437.9272
## 2423 373.5039
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1282 494.0410
## 1269 414.8504
## 982 435.3028
## 2423 370.0083
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1282 310.0750
## 1269 376.9729
## 982 376.9729
## 2423 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.X.no.rnorm.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## [1] "fitting model: All.Interact.X.no.rnorm.Train.rpart"
## [1] " indep_vars: prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr"## Warning in nominalTrainWorkflow(x = x, y = y, wts = weights, info =
## trainInfo, : There were missing values in resampled performance measures.
## Aggregating results
## Selecting tuning parameters
## Fitting cp = 0.0684 on full training set## Warning in myfit_mdl(model_id = paste0(c(head(mdl_id_components, -1),
## "Train"), : model's bestTune found at an extreme of tuneGrid for parameter:
## cp
## Call:
## rpart(formula = .outcome ~ ., control = list(minsplit = 20, minbucket = 7,
## cp = 0, maxcompete = 4, maxsurrogate = 5, usesurrogate = 2,
## surrogatestyle = 0, maxdepth = 30, xval = 0))
## n= 860
##
## CP nsplit rel error
## 1 0.22941102 0 1.0000000
## 2 0.09076545 1 0.7705890
## 3 0.06838998 2 0.6798235
##
## Variable importance
## biddable
## 33
## prdl.my.descr.fctriPadAir#0:idseq.my
## 13
## prdl.my.descr.fctriPadAir#0
## 13
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio
## 13
## prdl.my.descr.fctriPadAir#0:biddable
## 13
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown
## 5
## prdl.my.descr.fctriPadAir#0:storage.fctr16
## 5
## idseq.my
## 2
## prdl.my.descr.fctriPadmini 2+#0:idseq.my
## 1
## D.npnct15.log
## 1
## prdl.my.descr.fctrUnknown#1:idseq.my
## 1
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio
## 1
##
## Node number 1: 860 observations, complexity param=0.229411
## mean=127.4371, MSE=17172.71
## left son=2 (640 obs) right son=3 (220 obs)
## Primary splits:
## biddable < 0.5 to the right, improve=0.2294110, (0 missing)
## prdl.my.descr.fctriPadAir#0:idseq.my < 9.5 to the left, improve=0.1616753, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.1616753, (0 missing)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, improve=0.1616753, (0 missing)
## condition.fctrNew < 0.5 to the left, improve=0.1303927, (0 missing)
## Surrogate splits:
## idseq.my < 1783.5 to the left, agree=0.757, adj=0.050, (0 split)
## prdl.my.descr.fctriPadmini 2+#0:idseq.my < 1420.5 to the left, agree=0.755, adj=0.041, (0 split)
## D.npnct15.log < 0.3465736 to the left, agree=0.750, adj=0.023, (0 split)
## prdl.my.descr.fctriPad 1#1:D.TfIdf.sum.stem.stop.Ratio < 0.983895 to the left, agree=0.750, adj=0.023, (0 split)
## prdl.my.descr.fctrUnknown#1:idseq.my < 1771.5 to the left, agree=0.750, adj=0.023, (0 split)
##
## Node number 2: 640 observations, complexity param=0.09076545
## mean=90.63711, MSE=11139.65
## left son=4 (573 obs) right son=5 (67 obs)
## Primary splits:
## prdl.my.descr.fctriPadAir#0:idseq.my < 42 to the left, improve=0.1880210, (0 missing)
## prdl.my.descr.fctriPadAir#0:biddable < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, improve=0.1838605, (0 missing)
## prdl.my.descr.fctriPadAir#0:condition.fctrNew < 0.5 to the left, improve=0.1100772, (0 missing)
## Surrogate splits:
## prdl.my.descr.fctriPadAir#0 < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:D.TfIdf.sum.stem.stop.Ratio < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:biddable < 0.5 to the left, agree=0.998, adj=0.985, (0 split)
## prdl.my.descr.fctriPadAir#0:color.fctrUnknown < 0.5 to the left, agree=0.938, adj=0.403, (0 split)
## prdl.my.descr.fctriPadAir#0:storage.fctr16 < 0.5 to the left, agree=0.933, adj=0.358, (0 split)
##
## Node number 3: 220 observations
## mean=234.4917, MSE=19323.14
##
## Node number 4: 573 observations
## mean=74.98766, MSE=6718.483
##
## Node number 5: 67 observations
## mean=224.4749, MSE=28943.47
##
## n= 860
##
## node), split, n, deviance, yval
## * denotes terminal node
##
## 1) root 860 14768530 127.43710
## 2) biddable>=0.5 640 7129375 90.63711
## 4) prdl.my.descr.fctriPadAir#0:idseq.my< 42 573 3849690 74.98766 *
## 5) prdl.my.descr.fctriPadAir#0:idseq.my>=42 67 1939212 224.47490 *
## 3) biddable< 0.5 220 4251091 234.49170 *
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 All.Interact.X.no.rnorm.Train.rpart rpart
## feats
## 1 prdl.my.descr.fctr, D.ratio.nstopwrds.nwrds, D.npnct14.log, D.terms.n.stem.stop.Ratio, D.ndgts.log, D.npnct05.log, D.npnct15.log, D.npnct12.log, D.npnct06.log, D.npnct03.log, D.npnct11.log, D.npnct13.log, D.nwrds.log, D.terms.n.post.stop.log, D.nwrds.unq.log, D.terms.n.post.stem.log, D.nuppr.log, D.TfIdf.sum.post.stem, D.sum.TfIdf, D.npnct24.log, D.TfIdf.sum.post.stop, D.ratio.sum.TfIdf.nwrds, prdl.my.descr.fctr*D.nchrs.log, prdl.my.descr.fctr*D.TfIdf.sum.stem.stop.Ratio, prdl.my.descr.fctr*D.npnct16.log, prdl.my.descr.fctr*D.npnct01.log, prdl.my.descr.fctr*D.nstopwrds.log, prdl.my.descr.fctr*D.npnct08.log, prdl.my.descr.fctr*D.terms.n.post.stop, prdl.my.descr.fctr*D.terms.n.post.stem, prdl.my.descr.fctr*biddable, prdl.my.descr.fctr*condition.fctr, prdl.my.descr.fctr*color.fctr, prdl.my.descr.fctr*storage.fctr, prdl.my.descr.fctr*idseq.my, cellular.fctr*carrier.fctr, prdl.my.descr.fctr:.clusterid.fctr
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 3 3.954 0.297
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.3201765 107.8897 0.3378319 6.772421
## max.RsquaredSD.fit
## 1 0.06109591## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID
## 794 10794
## 935 10935
## 1299 11300
## 1523 11524
## 803 10803
## 1217 11217
## description
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## biddable startprice condition cellular carrier color
## 794 1 525.00 Used 0 None White
## 935 0 675.00 New 1 Unknown White
## 1299 1 650.00 New 1 Unknown Gold
## 1523 0 650.00 New 1 AT&T Unknown
## 803 0 630.00 Used 1 Verizon White
## 1217 0 624.99 New other (see details) 0 None Gold
## storage productline .src .grpid .rnorm idseq.my prdline.my
## 794 128 iPad Air 2 Train <NA> -0.5698197 794 iPadAir
## 935 64 iPad Air 2 Train <NA> 1.0658666 935 iPadAir
## 1299 128 iPad Air 2 Train <NA> 1.1631209 1300 iPadAir
## 1523 128 iPad mini 3 Train <NA> -0.1464629 1524 iPadmini 2+
## 803 128 iPad Air 2 Train <NA> 0.9253069 803 iPadAir
## 1217 128 iPad Air 2 Train <NA> 2.8521358 1217 iPadAir
## startprice.log
## 794 6.263398
## 935 6.514713
## 1299 6.476972
## 1523 6.476972
## 803 6.445720
## 1217 6.437736
## descr.my
## 794 Excellent Used Condition. Please see all photos and description.
## 935
## 1299
## 1523
## 803
## 1217
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 794 Used 0 None White
## 935 New 1 Unknown White
## 1299 New 1 Unknown Gold
## 1523 New 1 AT&T Unknown
## 803 Used 1 Verizon White
## 1217 New other (see details) 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 794 128 7 2.079442
## 935 64 0 0.000000
## 1299 128 0 0.000000
## 1523 128 0 0.000000
## 803 128 0 0.000000
## 1217 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 794 4.983944 7 2.079442
## 935 0.000000 0 0.000000
## 1299 0.000000 0 0.000000
## 1523 0.000000 0 0.000000
## 803 0.000000 0 0.000000
## 1217 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 794 4.925069 1
## 935 0.000000 1
## 1299 0.000000 1
## 1523 0.000000 1
## 803 0.000000 1
## 1217 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 794 0.9881871 0.3446695 0.4558153 0 0
## 935 1.0000000 0.0000000 0.0000000 0 0
## 1299 1.0000000 0.0000000 0.0000000 0 0
## 1523 1.0000000 0.0000000 0.0000000 0 0
## 803 1.0000000 0.0000000 0.0000000 0 0
## 1217 1.0000000 0.0000000 0.0000000 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 794 0 0 0 0 0 0.6759609 0
## 935 0 0 0 0 0 0.0000000 0
## 1299 0 0 0 0 0 0.0000000 0
## 1523 0 0 0 0 0 0.0000000 0
## 803 0 0 0 0 0 0.0000000 0
## 1217 0 0 0 0 0 0.0000000 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.see D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign
## 794 0.8068089 0 0 0.758499 0 0 0
## 935 0.0000000 0 0 0.000000 0 0 0
## 1299 0.0000000 0 0 0.000000 0 0 0
## 1523 0.0000000 0 0 0.000000 0 0 0
## 803 0.0000000 0 0 0.000000 0 0 0
## 1217 0.0000000 0 0 0.000000 0 0 0
## D.T.open D.T.will D.T.charger D.T.come D.T.scuff D.T.corner
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.broken D.T.descript D.T.unit D.T.show D.T.pictur D.T.may
## 794 0 0.9044555 0 0 0 0
## 935 0 0.0000000 0 0 0 0
## 1299 0 0.0000000 0 0 0 0
## 1523 0 0.0000000 0 0 0 0
## 803 0 0.0000000 0 0 0 0
## 1217 0 0.0000000 0 0 0 0
## D.T.normal D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact
## 794 0 0 0 0 0 0
## 935 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1523 0 0 0 0 0 0
## 803 0 0 0 0 0 0
## 1217 0 0 0 0 0 0
## D.T.refer D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log
## 794 0 0 0 0 0 2.302585
## 935 0 0 0 0 0 0.000000
## 1299 0 0 0 0 0 0.000000
## 1523 0 0 0 0 0 0.000000
## 803 0 0 0 0 0 0.000000
## 1217 0 0 0 0 0 0.000000
## D.nwrds.unq.log D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log
## 794 2.079442 4.925069 0.5472299 4.174387
## 935 0.000000 0.000000 0.0000000 0.000000
## 1299 0.000000 0.000000 0.0000000 0.000000
## 1523 0.000000 0.000000 0.0000000 0.000000
## 803 0.000000 0.000000 0.0000000 0.000000
## 1217 0.000000 0.000000 0.0000000 0.000000
## D.nuppr.log D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log
## 794 4.007333 0 0 0 0
## 935 0.000000 0 0 0 0
## 1299 0.000000 0 0 0 0
## 1523 0.000000 0 0 0 0
## 803 0.000000 0 0 0 0
## 1217 0.000000 0 0 0 0
## D.npnct06.log D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log
## 794 0 0 0 0 1.098612
## 935 0 0 0 0 0.000000
## 1299 0 0 0 0 0.000000
## 1523 0 0 0 0 0.000000
## 803 0 0 0 0 0.000000
## 1217 0 0 0 0 0.000000
## D.npnct14.log D.npnct15.log D.npnct16.log D.npnct24.log
## 794 0 0 0 0.6931472
## 935 0 0 0 0.0000000
## 1299 0 0 0 0.0000000
## 1523 0 0 0 0.0000000
## 803 0 0 0 0.0000000
## 1217 0 0 0 0.0000000
## D.nstopwrds.log D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black
## 794 1.098612 0.3 0 0 0
## 935 0.000000 1.0 0 0 0
## 1299 0.000000 1.0 0 0 0
## 1523 0.000000 1.0 0 0 0
## 803 0.000000 1.0 0 0 0
## 1217 0.000000 1.0 0 0 0
## D.P.white prdline.my.fctr prdl.my.descr.fctr .clusterid
## 794 0 iPadAir iPadAir#1 1
## 935 0 iPadAir iPadAir#0 1
## 1299 0 iPadAir iPadAir#0 1
## 1523 0 iPadmini 2+ iPadmini 2+#0 1
## 803 0 iPadAir iPadAir#0 1
## 1217 0 iPadAir iPadAir#0 1
## .clusterid.fctr .lcn startprice.predict.All.Interact.X.glmnet
## 794 1 Fit 192.0747
## 935 1 Fit 503.8885
## 1299 1 Fit 353.6184
## 1523 1 Fit 386.5313
## 803 1 Fit 542.7451
## 1217 1 Fit 555.1731
## startprice.predict.All.Interact.X.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 794 198.9953 326.0047
## 935 454.4829 220.5171
## 1299 305.6479 344.3521
## 1523 363.3115 286.6885
## 803 394.1390 235.8610
## 1217 422.9141 202.0759
## startprice.predict.All.X.no.rnorm.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 794 125.7944
## 935 415.6467
## 1299 221.8944
## 1523 362.2824
## 803 415.6467
## 1217 415.6467
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 794 399.2056
## 935 259.3533
## 1299 428.1056
## 1523 287.7176
## 803 214.3533
## 1217 209.3433
## startprice.predict.All.Interact.X.no.rnorm.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 794 280.5446 244.4554
## 935 461.5254 213.4746
## 1299 382.2122 267.7878
## 1523 438.0885 211.9115
## 803 480.8501 149.1499
## 1217 503.1497 121.8403
## startprice.predict.All.X.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 794 234.6432 293.5478
## 935 212.5398 462.1965
## 1299 267.1893 383.0273
## 1523 212.2680 439.0099
## 803 149.9837 480.8042
## 1217 116.7427 509.4188
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 794 231.4522 293.5478
## 935 212.8035 462.1965
## 1299 266.9727 383.0273
## 1523 210.9901 439.0099
## 803 149.1958 480.8042
## 1217 115.5712 509.4188
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 794 231.4522 142.7082
## 935 212.8035 376.9729
## 1299 266.9727 237.2502
## 1523 210.9901 310.0750
## 803 149.1958 376.9729
## 1217 115.5712 376.9729
## startprice.predict.Max.cor.Y.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.Train.glmnet
## 794 192.0747
## 935 503.8885
## 1299 353.6184
## 1523 386.5313
## 803 542.7451
## 1217 555.1731
## startprice.predict.All.Interact.X.Train.glmnet.err
## 794 332.92534
## 935 171.11153
## 1299 296.38156
## 1523 263.46867
## 803 87.25488
## 1217 69.81686
## startprice.predict.All.X.no.rnorm.Train.rf
## 794 318.9829
## 935 569.5979
## 1299 400.1281
## 1523 500.2487
## 803 533.9543
## 1217 521.2556
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 794 206.0171
## 935 105.4021
## 1299 249.8719
## 1523 149.7513
## 803 96.0457
## 1217 103.7344
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 794 337.6408
## 935 586.3192
## 1299 396.3754
## 1523 494.0150
## 803 546.7919
## 1217 522.1044
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 794 187.35916
## 935 88.68077
## 1299 253.62464
## 1523 155.98503
## 803 83.20809
## 1217 102.88558
## startprice.predict.Low.cor.X.Train.lm
## 794 280.5446
## 935 461.5254
## 1299 382.2122
## 1523 438.0885
## 803 480.8501
## 1217 503.1497
## startprice.predict.Low.cor.X.Train.lm.err
## 794 244.4554
## 935 213.4746
## 1299 267.7878
## 1523 211.9115
## 803 149.1499
## 1217 121.8403
## startprice.predict.All.X.Train.bayesglm
## 794 290.3568
## 935 462.4602
## 1299 382.8107
## 1523 437.7320
## 803 480.0163
## 1217 508.2473
## startprice.predict.All.X.Train.bayesglm.err
## 794 234.6432
## 935 212.5398
## 1299 267.1893
## 1523 212.2680
## 803 149.9837
## 1217 116.7427
## startprice.predict.All.X.Train.lm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.lm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.All.X.Train.glm
## 794 293.5478
## 935 462.1965
## 1299 383.0273
## 1523 439.0099
## 803 480.8042
## 1217 509.4188
## startprice.predict.All.X.Train.glm.err
## 794 231.4522
## 935 212.8035
## 1299 266.9727
## 1523 210.9901
## 803 149.1958
## 1217 115.5712
## startprice.predict.Max.cor.Y.Train.lm
## 794 142.7082
## 935 376.9729
## 1299 237.2502
## 1523 310.0750
## 803 376.9729
## 1217 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 794 382.2918
## 935 298.0271
## 1299 412.7498
## 1523 339.9250
## 803 253.0271
## 1217 248.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 794 155.0292
## 935 380.8443
## 1299 235.7130
## 1523 313.5584
## 803 380.8443
## 1217 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 794 369.9708
## 935 294.1557
## 1299 414.2870
## 1523 336.4416
## 803 249.1557
## 1217 244.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 794 244.4212
## 935 519.6135
## 1299 402.1242
## 1523 438.0361
## 803 623.7695
## 1217 629.2731
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 794 280.578782
## 935 155.386470
## 1299 247.875758
## 1523 211.963865
## 803 6.230462
## 1217 4.283129
## startprice.predict.Max.cor.Y.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.Max.cor.Y.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.X.no.rnorm.Train.rpart
## 794 75.03309
## 935 234.49168
## 1299 221.89441
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 794 449.9669
## 935 440.5083
## 1299 428.1056
## 1523 415.5083
## 803 395.5083
## 1217 390.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 794 74.98766
## 935 234.49168
## 1299 224.47493
## 1523 234.49168
## 803 234.49168
## 1217 234.49168
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 794 450.0123
## 935 440.5083
## 1299 425.5251
## 1523 415.5083
## 803 395.5083
## 1217 390.4983## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1282 11283
## 1269 11270
## 982 10982
## 2423 12425
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1282 0 948.98 New 1 Unknown
## 1269 0 939.00 New 1 Unknown
## 982 0 900.00 Used 1 Unknown
## 2423 0 899.99 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1282 Gold 128 iPad mini 3 Test <NA> 3.08230390 1283
## 1269 Gold 128 iPad Air 2 Test <NA> -0.48618313 1270
## 982 Unknown 128 iPad Air 2 Test <NA> 0.16894088 982
## 2423 Space Gray 128 iPad Air 2 Test <NA> -2.01514933 2425
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1282 iPadmini 2+ 6.855388
## 1269 iPadAir 6.844815
## 982 iPadAir 6.802395
## 2423 iPadAir 6.802384
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1282
## 1269
## 982
## 2423
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1282 New 1 Unknown Gold
## 1269 New 1 Unknown Gold
## 982 Used 1 Unknown Unknown
## 2423 New 1 Unknown Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1282 128 0 0.000000
## 1269 128 0 0.000000
## 982 128 0 0.000000
## 2423 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1282 0.000000 0 0.000000
## 1269 0.000000 0 0.000000
## 982 0.000000 0 0.000000
## 2423 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1282 0.000000 1
## 1269 0.000000 1
## 982 0.000000 1
## 2423 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1282 0 0 0 0.000000 0 0 0
## 1269 0 0 0 0.000000 0 0 0
## 982 0 0 0 0.000000 0 0 0
## 2423 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1282 0 0 0 0 0 0 0
## 1269 0 0 0 0 0 0 0
## 982 0 0 0 0 0 0 0
## 2423 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1282 0 0 0 0 0.0000000 0
## 1269 0 0 0 0 0.0000000 0
## 982 0 0 0 0 0.0000000 0
## 2423 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1282 0 0 0 0 0 0
## 1269 0 0 0 0 0 0
## 982 0 0 0 0 0 0
## 2423 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1282 0 0 0 0 0.000000 0.000000
## 1269 0 0 0 0 0.000000 0.000000
## 982 0 0 0 0 0.000000 0.000000
## 2423 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1282 0.000000 0.0000000 0.000000 0.000000
## 1269 0.000000 0.0000000 0.000000 0.000000
## 982 0.000000 0.0000000 0.000000 0.000000
## 2423 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1282 0.000000 0 0 0 0.0000000
## 1269 0.000000 0 0 0 0.0000000
## 982 0.000000 0 0 0 0.0000000
## 2423 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1282 0 0.0000000 0 0.000000 0
## 1269 0 0.0000000 0 0.000000 0
## 982 0 0.0000000 0 0.000000 0
## 2423 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1282 0 0.0000000 0.0000000 0.00000
## 1269 0 0.0000000 0.0000000 0.00000
## 982 0 0.0000000 0.0000000 0.00000
## 2423 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1282 1.0000000 0 0 0 0
## 1269 1.0000000 0 0 0 0
## 982 1.0000000 0 0 0 0
## 2423 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1282 iPadmini 2+ iPadmini 2+#0 1 1
## 1269 iPadAir iPadAir#0 1 1
## 982 iPadAir iPadAir#0 1 1
## 2423 iPadAir iPadAir#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1282 422.55240
## 1269 533.53548
## 982 554.94469
## 2423 600.55613
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1282 526.4276
## 1269 405.4645
## 982 345.0553
## 2423 299.4339
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1282 479.1278
## 1269 538.2866
## 982 474.3167
## 2423 457.1733
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1282 469.8522
## 1269 400.7134
## 982 425.6833
## 2423 442.8167
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.8892
## 1396 205.7521
## 1282 453.6546
## 1269 550.8209
## 982 521.8078
## 2423 464.9215
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1282 495.3254
## 1269 388.1791
## 982 378.1922
## 2423 435.0685
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1282 454.4696
## 1269 522.7249
## 982 462.0728
## 2423 526.4861
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1282 494.5104
## 1269 416.2751
## 982 437.9272
## 2423 373.5039
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1282 454.9390
## 1269 524.1496
## 982 464.6972
## 2423 529.9817
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1282 494.0410
## 1269 414.8504
## 982 435.3028
## 2423 370.0083
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1282 455.3742
## 1269 524.4702
## 982 465.5386
## 2423 529.3477
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1282 493.6058
## 1269 414.5298
## 982 434.4614
## 2423 370.6423
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1282 310.0750
## 1269 376.9729
## 982 376.9729
## 2423 376.9729
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1282 638.9050
## 1269 562.0271
## 982 523.0271
## 2423 523.0171
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1282 313.5584
## 1269 380.8443
## 982 380.8443
## 2423 380.8443
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1282 635.4216
## 1269 558.1557
## 982 519.1557
## 2423 519.1457
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1282 491.257615
## 1269 602.360122
## 982 643.228058
## 2423 674.617091
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1282 457.7224
## 1269 336.6399
## 982 256.7719
## 2423 225.3729
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.X.no.rnorm.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 2623 234.4917
## 1396 234.4917
## 1282 234.4917
## 1269 234.4917
## 982 234.4917
## 2423 234.4917
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1282 714.4883
## 1269 704.5083
## 982 665.5083
## 2423 665.4983
## [1] "fitting model: Final.glmnet"
## [1] " indep_vars: startprice.predict.All.Interact.X.Train.glmnet, startprice.predict.All.X.no.rnorm.Train.rf, startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart, startprice.predict.All.Interact.X.no.rnorm.Train.rf, startprice.predict.Low.cor.X.Train.lm, startprice.predict.All.X.Train.bayesglm, startprice.predict.All.X.Train.lm, startprice.predict.All.X.Train.glm, startprice.predict.Max.cor.Y.Train.lm, startprice.predict.Interact.High.cor.Y.Train.lm, startprice.predict.All.Interact.X.Train.bayesglm, startprice.predict.Max.cor.Y.Train.rpart, startprice.predict.All.X.no.rnorm.Train.rpart, startprice.predict.All.Interact.X.no.rnorm.Train.rpart"
## Aggregating results
## Selecting tuning parameters
## Fitting alpha = 0.1, lambda = 0.25 on full training set## Warning in myfit_mdl(model_id = "Final", model_method = model_method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: alpha## Warning in myfit_mdl(model_id = "Final", model_method = model_method,
## indep_vars_vctr = indep_vars_vctr, : model's bestTune found at an extreme
## of tuneGrid for parameter: lambda
## Length Class Mode
## a0 100 -none- numeric
## beta 1400 dgCMatrix S4
## df 100 -none- numeric
## dim 2 -none- numeric
## lambda 100 -none- numeric
## dev.ratio 100 -none- numeric
## nulldev 1 -none- numeric
## npasses 1 -none- numeric
## jerr 1 -none- numeric
## offset 1 -none- logical
## call 5 -none- call
## nobs 1 -none- numeric
## lambdaOpt 1 -none- numeric
## xNames 14 -none- character
## problemType 1 -none- character
## tuneValue 2 data.frame list
## obsLevels 1 -none- logical
## [1] "min lambda > lambdaOpt:"
## (Intercept)
## -3.6615141184
## startprice.predict.All.Interact.X.Train.glmnet
## -0.3530500929
## startprice.predict.All.X.no.rnorm.Train.rf
## 0.5723670510
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## -0.0182466490
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 0.9909415602
## startprice.predict.Low.cor.X.Train.lm
## -0.0750899669
## startprice.predict.Max.cor.Y.Train.lm
## -0.2123196546
## startprice.predict.Interact.High.cor.Y.Train.lm
## -0.0787814264
## startprice.predict.All.Interact.X.Train.bayesglm
## 0.1727779531
## startprice.predict.Max.cor.Y.Train.rpart
## -0.0027305997
## startprice.predict.All.X.no.rnorm.Train.rpart
## -0.0002091464
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 0.0296160910
## [1] "max lambda < lambdaOpt:"
## (Intercept)
## -3.569973050
## startprice.predict.All.Interact.X.Train.glmnet
## -0.384906006
## startprice.predict.All.X.no.rnorm.Train.rf
## 0.522814691
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## -0.056836921
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1.045690322
## startprice.predict.Low.cor.X.Train.lm
## -0.068461265
## startprice.predict.Max.cor.Y.Train.lm
## -0.219526316
## startprice.predict.Interact.High.cor.Y.Train.lm
## -0.074644658
## startprice.predict.All.Interact.X.Train.bayesglm
## 0.191733304
## startprice.predict.Max.cor.Y.Train.rpart
## -0.010175196
## startprice.predict.All.X.no.rnorm.Train.rpart
## -0.001098745
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 0.080091382
## character(0)
## character(0)
## [1] " calling mypredict_mdl for fit:"
## model_id model_method
## 1 Final.glmnet glmnet
## feats
## 1 startprice.predict.All.Interact.X.Train.glmnet, startprice.predict.All.X.no.rnorm.Train.rf, startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart, startprice.predict.All.Interact.X.no.rnorm.Train.rf, startprice.predict.Low.cor.X.Train.lm, startprice.predict.All.X.Train.bayesglm, startprice.predict.All.X.Train.lm, startprice.predict.All.X.Train.glm, startprice.predict.Max.cor.Y.Train.lm, startprice.predict.Interact.High.cor.Y.Train.lm, startprice.predict.All.Interact.X.Train.bayesglm, startprice.predict.Max.cor.Y.Train.rpart, startprice.predict.All.X.no.rnorm.Train.rpart, startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## max.nTuningRuns min.elapsedtime.everything min.elapsedtime.final
## 1 9 1.461 0.007
## max.R.sq.fit min.RMSE.fit max.Rsquared.fit min.RMSESD.fit
## 1 0.9428338 31.45704 0.9396644 3.548462
## max.RsquaredSD.fit
## 1 0.02222316rm(ret_lst)
glb_chunks_df <- myadd_chunk(glb_chunks_df, "fit.data.training", major.inc=FALSE)## label step_major step_minor bgn end elapsed
## 14 fit.data.training 8 0 622.377 1124.661 502.284
## 15 fit.data.training 8 1 1124.662 NA NA#```
#```{r fit.data.training_1, cache=FALSE}
#stop(here"); glb_to_sav()
glb_trnobs_df <- glb_get_predictions(df=glb_trnobs_df, mdl_id=glb_fin_mdl_id,
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=ifelse(glb_is_classification && glb_is_binomial,
glb_models_df[glb_models_df$model_id == glb_sel_mdl_id, "opt.prob.threshold.OOB"], NULL))## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID description biddable startprice condition cellular carrier
## 1358 11359 0 595.00 New Unknown Unknown
## 1299 11300 1 650.00 New 1 Unknown
## 1447 11448 0 4.69 New Unknown Unknown
## 1582 11583 0 4.99 New Unknown Unknown
## 1472 11473 0 395.00 New 1 Unknown
## 307 10307 1 250.00 Used 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 1358 Unknown Unknown Unknown Train <NA> 2.2851702 1359
## 1299 Gold 128 iPad Air 2 Train <NA> 1.1631209 1300
## 1447 Unknown Unknown Unknown Train <NA> 3.7446833 1448
## 1582 Unknown Unknown Unknown Train <NA> 0.8677025 1583
## 1472 Unknown 64 iPad mini 2 Train <NA> -0.7441056 1473
## 307 Unknown 64 iPad Air 2 Train <NA> 0.3024315 307
## prdline.my startprice.log descr.my condition.fctr cellular.fctr
## 1358 Unknown 6.388561 New Unknown
## 1299 iPadAir 6.476972 New 1
## 1447 Unknown 1.545433 New Unknown
## 1582 Unknown 1.607436 New Unknown
## 1472 iPadmini 2+ 5.978886 New 1
## 307 iPadAir 5.521461 Used 0
## carrier.fctr color.fctr storage.fctr D.terms.n.post.stop
## 1358 Unknown Unknown Unknown 0
## 1299 Unknown Gold 128 0
## 1447 Unknown Unknown Unknown 0
## 1582 Unknown Unknown Unknown 0
## 1472 Unknown Unknown 64 0
## 307 None Unknown 64 0
## D.terms.n.post.stop.log D.TfIdf.sum.post.stop D.terms.n.post.stem
## 1358 0 0 0
## 1299 0 0 0
## 1447 0 0 0
## 1582 0 0 0
## 1472 0 0 0
## 307 0 0 0
## D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0
## 1299 0 0
## 1447 0 0
## 1582 0 0
## 1472 0 0
## 307 0 0
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1 0
## 1299 1 1 0
## 1447 1 1 0
## 1582 1 1 0
## 1472 1 1 0
## 307 1 1 0
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## 307 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## 307 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## 307 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## 307 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0 0 1
## 1299 0 0 0 1
## 1447 0 0 0 1
## 1582 0 0 0 1
## 1472 0 0 0 1
## 307 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 1447 0 0 0 0 Unknown
## 1582 0 0 0 0 Unknown
## 1472 0 0 0 0 iPadmini 2+
## 307 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1358 Unknown#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## 1447 Unknown#0 1 1 Fit
## 1582 Unknown#0 1 1 Fit
## 1472 iPadmini 2+#0 1 1 Fit
## 307 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## 307 257.4384
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## 307 7.4384388
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.65809
## 1299 305.6479 344.35207
## 1447 269.4240 264.73405
## 1582 268.0318 263.04178
## 1472 357.7212 37.27882
## 307 235.4314 14.56862
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## 307 326.5473
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## 307 76.54728
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 1299 221.8944
## 1447 224.5690
## 1582 224.5690
## 1472 362.2824
## 307 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.43095
## 1299 428.10559
## 1447 219.87905
## 1582 219.57905
## 1472 32.71762
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## 307 324.0167
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.99787
## 1299 253.62464
## 1447 177.59542
## 1582 152.38075
## 1472 56.36360
## 307 74.01669
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.03739
## 1299 382.2122 267.78778
## 1447 257.0232 252.33317
## 1582 256.3717 251.38172
## 1472 363.6231 31.37688
## 307 230.3391 19.66085
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## 307 229.1480
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.15276 259.1831
## 1299 267.18933 383.0273
## 1447 252.21225 257.1820
## 1582 251.36724 256.5868
## 1472 31.58214 363.6586
## 307 20.85199 229.4942
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.81691 259.1831
## 1299 266.97269 383.0273
## 1447 252.49197 257.1820
## 1582 251.59680 256.5868
## 1472 31.34138 363.6586
## 307 20.50576 229.4942
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.81691 198.8825
## 1299 266.97269 237.2502
## 1447 252.49197 198.8825
## 1582 251.59680 198.8825
## 1472 31.34138 310.0750
## 307 20.50576 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## 307 12.74983
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## 307 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## 307 14.28699
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## 307 255.0016
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## 307 5.001620
## startprice.predict.Max.cor.Y.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.50832
## 1299 425.52507
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 25.52507
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## 307 257.4384
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## 307 7.4384388
## startprice.predict.All.X.no.rnorm.Train.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## 307 326.5473
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## 307 76.54728
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## 307 324.0167
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1358 252.99787
## 1299 253.62464
## 1447 177.59542
## 1582 152.38075
## 1472 56.36360
## 307 74.01669
## startprice.predict.Low.cor.X.Train.lm
## 1358 258.9626
## 1299 382.2122
## 1447 257.0232
## 1582 256.3717
## 1472 363.6231
## 307 230.3391
## startprice.predict.Low.cor.X.Train.lm.err
## 1358 336.03739
## 1299 267.78778
## 1447 252.33317
## 1582 251.38172
## 1472 31.37688
## 307 19.66085
## startprice.predict.All.X.Train.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## 307 229.1480
## startprice.predict.All.X.Train.bayesglm.err
## 1358 336.15276
## 1299 267.18933
## 1447 252.21225
## 1582 251.36724
## 1472 31.58214
## 307 20.85199
## startprice.predict.All.X.Train.lm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## 307 229.4942
## startprice.predict.All.X.Train.lm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## 307 20.50576
## startprice.predict.All.X.Train.glm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## 307 229.4942
## startprice.predict.All.X.Train.glm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## 307 20.50576
## startprice.predict.Max.cor.Y.Train.lm
## 1358 198.8825
## 1299 237.2502
## 1447 198.8825
## 1582 198.8825
## 1472 310.0750
## 307 237.2502
## startprice.predict.Max.cor.Y.Train.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## 307 12.74983
## startprice.predict.Interact.High.cor.Y.Train.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## 307 235.7130
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## 307 14.28699
## startprice.predict.All.Interact.X.Train.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## 307 255.0016
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## 307 5.001620
## startprice.predict.Max.cor.Y.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 224.4749
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 1358 360.50832
## 1299 425.52507
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 25.52507
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 1358 405.5504 189.4496
## 1299 467.1743 182.8257
## 1447 166.6981 162.0081
## 1582 130.4777 125.4877
## 1472 518.5938 123.5938
## 307 373.2108 123.2108glb_featsimp_df <- myget_feats_importance(mdl=glb_fin_mdl, featsimp_df=glb_featsimp_df)
glb_featsimp_df[, paste0(glb_fin_mdl_id, ".importance")] <- glb_featsimp_df$importance
print(glb_featsimp_df)## Ensemble.glmnet.importance
## startprice.predict.All.Interact.X.no.rnorm.Train.rf NA
## startprice.predict.All.X.no.rnorm.Train.rf NA
## startprice.predict.All.Interact.X.Train.bayesglm NA
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart NA
## startprice.predict.All.X.Train.bayesglm NA
## startprice.predict.All.X.Train.glm NA
## startprice.predict.All.X.Train.lm NA
## startprice.predict.All.X.no.rnorm.Train.rpart NA
## startprice.predict.Max.cor.Y.Train.rpart NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart NA
## startprice.predict.Low.cor.X.Train.lm NA
## startprice.predict.Interact.High.cor.Y.Train.lm NA
## startprice.predict.Max.cor.Y.Train.lm NA
## startprice.predict.All.Interact.X.Train.glmnet NA
## startprice.predict.All.Interact.X.bayesglm 39.446441
## startprice.predict.All.Interact.X.glmnet 13.298938
## startprice.predict.All.Interact.X.no.rnorm.rf 100.000000
## startprice.predict.All.Interact.X.no.rnorm.rpart 31.242314
## startprice.predict.All.X.bayesglm 31.728064
## startprice.predict.All.X.glm 30.721941
## startprice.predict.All.X.glmnet 0.000000
## startprice.predict.All.X.lm 30.721941
## startprice.predict.All.X.no.rnorm.rf 82.877850
## startprice.predict.All.X.no.rnorm.rpart 30.715802
## startprice.predict.Interact.High.cor.Y.lm 30.732133
## startprice.predict.Low.cor.X.lm 42.664383
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart 5.581228
## startprice.predict.Max.cor.Y.lm 36.631963
## startprice.predict.Max.cor.Y.rpart 30.490635
## importance
## startprice.predict.All.Interact.X.no.rnorm.Train.rf 100.00000
## startprice.predict.All.X.no.rnorm.Train.rf 68.43206
## startprice.predict.All.Interact.X.Train.bayesglm 39.24931
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart 28.78947
## startprice.predict.All.X.Train.bayesglm 26.33895
## startprice.predict.All.X.Train.glm 26.33895
## startprice.predict.All.X.Train.lm 26.33895
## startprice.predict.All.X.no.rnorm.Train.rpart 26.31986
## startprice.predict.Max.cor.Y.Train.rpart 26.10228
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart 24.79107
## startprice.predict.Low.cor.X.Train.lm 20.81876
## startprice.predict.Interact.High.cor.Y.Train.lm 20.53568
## startprice.predict.Max.cor.Y.Train.lm 10.57604
## startprice.predict.All.Interact.X.Train.glmnet 0.00000
## startprice.predict.All.Interact.X.bayesglm NA
## startprice.predict.All.Interact.X.glmnet NA
## startprice.predict.All.Interact.X.no.rnorm.rf NA
## startprice.predict.All.Interact.X.no.rnorm.rpart NA
## startprice.predict.All.X.bayesglm NA
## startprice.predict.All.X.glm NA
## startprice.predict.All.X.glmnet NA
## startprice.predict.All.X.lm NA
## startprice.predict.All.X.no.rnorm.rf NA
## startprice.predict.All.X.no.rnorm.rpart NA
## startprice.predict.Interact.High.cor.Y.lm NA
## startprice.predict.Low.cor.X.lm NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart NA
## startprice.predict.Max.cor.Y.lm NA
## startprice.predict.Max.cor.Y.rpart NA
## Final.glmnet.importance
## startprice.predict.All.Interact.X.no.rnorm.Train.rf 100.00000
## startprice.predict.All.X.no.rnorm.Train.rf 68.43206
## startprice.predict.All.Interact.X.Train.bayesglm 39.24931
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart 28.78947
## startprice.predict.All.X.Train.bayesglm 26.33895
## startprice.predict.All.X.Train.glm 26.33895
## startprice.predict.All.X.Train.lm 26.33895
## startprice.predict.All.X.no.rnorm.Train.rpart 26.31986
## startprice.predict.Max.cor.Y.Train.rpart 26.10228
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart 24.79107
## startprice.predict.Low.cor.X.Train.lm 20.81876
## startprice.predict.Interact.High.cor.Y.Train.lm 20.53568
## startprice.predict.Max.cor.Y.Train.lm 10.57604
## startprice.predict.All.Interact.X.Train.glmnet 0.00000
## startprice.predict.All.Interact.X.bayesglm NA
## startprice.predict.All.Interact.X.glmnet NA
## startprice.predict.All.Interact.X.no.rnorm.rf NA
## startprice.predict.All.Interact.X.no.rnorm.rpart NA
## startprice.predict.All.X.bayesglm NA
## startprice.predict.All.X.glm NA
## startprice.predict.All.X.glmnet NA
## startprice.predict.All.X.lm NA
## startprice.predict.All.X.no.rnorm.rf NA
## startprice.predict.All.X.no.rnorm.rpart NA
## startprice.predict.Interact.High.cor.Y.lm NA
## startprice.predict.Low.cor.X.lm NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart NA
## startprice.predict.Max.cor.Y.lm NA
## startprice.predict.Max.cor.Y.rpart NAif (glb_is_classification && glb_is_binomial)
glb_analytics_diag_plots(obs_df=glb_trnobs_df, mdl_id=glb_fin_mdl_id,
prob_threshold=glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"]) else
glb_analytics_diag_plots(obs_df=glb_trnobs_df, mdl_id=glb_fin_mdl_id) ## Warning in glb_analytics_diag_plots(obs_df = glb_trnobs_df, mdl_id =
## glb_fin_mdl_id): Limiting important feature scatter plots to 5 out of 29
## UniqueID description biddable startprice condition cellular carrier
## 1358 11359 0 595.00 New Unknown Unknown
## 1299 11300 1 650.00 New 1 Unknown
## 1447 11448 0 4.69 New Unknown Unknown
## 1582 11583 0 4.99 New Unknown Unknown
## 1472 11473 0 395.00 New 1 Unknown
## color storage productline .src .grpid .rnorm idseq.my
## 1358 Unknown Unknown Unknown Train <NA> 2.2851702 1359
## 1299 Gold 128 iPad Air 2 Train <NA> 1.1631209 1300
## 1447 Unknown Unknown Unknown Train <NA> 3.7446833 1448
## 1582 Unknown Unknown Unknown Train <NA> 0.8677025 1583
## 1472 Unknown 64 iPad mini 2 Train <NA> -0.7441056 1473
## prdline.my startprice.log descr.my condition.fctr cellular.fctr
## 1358 Unknown 6.388561 New Unknown
## 1299 iPadAir 6.476972 New 1
## 1447 Unknown 1.545433 New Unknown
## 1582 Unknown 1.607436 New Unknown
## 1472 iPadmini 2+ 5.978886 New 1
## carrier.fctr color.fctr storage.fctr D.terms.n.post.stop
## 1358 Unknown Unknown Unknown 0
## 1299 Unknown Gold 128 0
## 1447 Unknown Unknown Unknown 0
## 1582 Unknown Unknown Unknown 0
## 1472 Unknown Unknown 64 0
## D.terms.n.post.stop.log D.TfIdf.sum.post.stop D.terms.n.post.stem
## 1358 0 0 0
## 1299 0 0 0
## 1447 0 0 0
## 1582 0 0 0
## 1472 0 0 0
## D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0
## 1299 0 0
## 1447 0 0
## 1582 0 0
## 1472 0 0
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1 0
## 1299 1 1 0
## 1447 1 1 0
## 1582 1 1 0
## 1472 1 1 0
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0 0 1
## 1299 0 0 0 1
## 1447 0 0 0 1
## 1582 0 0 0 1
## 1472 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 1447 0 0 0 0 Unknown
## 1582 0 0 0 0 Unknown
## 1472 0 0 0 0 iPadmini 2+
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1358 Unknown#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## 1447 Unknown#0 1 1 Fit
## 1582 Unknown#0 1 1 Fit
## 1472 iPadmini 2+#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.65809
## 1299 305.6479 344.35207
## 1447 269.4240 264.73405
## 1582 268.0318 263.04178
## 1472 357.7212 37.27882
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 1299 221.8944
## 1447 224.5690
## 1582 224.5690
## 1472 362.2824
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.43095
## 1299 428.10559
## 1447 219.87905
## 1582 219.57905
## 1472 32.71762
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.9979
## 1299 253.6246
## 1447 177.5954
## 1582 152.3807
## 1472 56.3636
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.03739
## 1299 382.2122 267.78778
## 1447 257.0232 252.33317
## 1582 256.3717 251.38172
## 1472 363.6231 31.37688
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.15276 259.1831
## 1299 267.18933 383.0273
## 1447 252.21225 257.1820
## 1582 251.36724 256.5868
## 1472 31.58214 363.6586
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.81691 259.1831
## 1299 266.97269 383.0273
## 1447 252.49197 257.1820
## 1582 251.59680 256.5868
## 1472 31.34138 363.6586
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.81691 198.8825
## 1299 266.97269 237.2502
## 1447 252.49197 198.8825
## 1582 251.59680 198.8825
## 1472 31.34138 310.0750
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## startprice.predict.Max.cor.Y.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.5083
## 1299 428.1056
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.5083
## 1299 428.1056
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.5083
## 1299 425.5251
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## startprice.predict.All.X.no.rnorm.Train.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1358 360.5083
## 1299 428.1056
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1358 252.9979
## 1299 253.6246
## 1447 177.5954
## 1582 152.3807
## 1472 56.3636
## startprice.predict.Low.cor.X.Train.lm
## 1358 258.9626
## 1299 382.2122
## 1447 257.0232
## 1582 256.3717
## 1472 363.6231
## startprice.predict.Low.cor.X.Train.lm.err
## 1358 336.03739
## 1299 267.78778
## 1447 252.33317
## 1582 251.38172
## 1472 31.37688
## startprice.predict.All.X.Train.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## startprice.predict.All.X.Train.bayesglm.err
## 1358 336.15276
## 1299 267.18933
## 1447 252.21225
## 1582 251.36724
## 1472 31.58214
## startprice.predict.All.X.Train.lm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## startprice.predict.All.X.Train.lm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## startprice.predict.All.X.Train.glm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## startprice.predict.All.X.Train.glm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## startprice.predict.Max.cor.Y.Train.lm
## 1358 198.8825
## 1299 237.2502
## 1447 198.8825
## 1582 198.8825
## 1472 310.0750
## startprice.predict.Max.cor.Y.Train.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## startprice.predict.Interact.High.cor.Y.Train.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## startprice.predict.All.Interact.X.Train.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## startprice.predict.Max.cor.Y.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.Max.cor.Y.Train.rpart.err
## 1358 360.5083
## 1299 428.1056
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 1358 360.5083
## 1299 428.1056
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 1358 360.5083
## 1299 425.5251
## 1447 229.8017
## 1582 229.5017
## 1472 160.5083
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 1358 405.5504 189.4496
## 1299 467.1743 182.8257
## 1447 166.6981 162.0081
## 1582 130.4777 125.4877
## 1472 518.5938 123.5938
## .label
## 1358 11359
## 1299 11300
## 1447 11448
## 1582 11583
## 1472 11473
dsp_feats_vctr <- c(NULL)
for(var in grep(".importance", names(glb_feats_df), fixed=TRUE, value=TRUE))
dsp_feats_vctr <- union(dsp_feats_vctr,
glb_feats_df[!is.na(glb_feats_df[, var]), "id"])
# print(glb_trnobs_df[glb_trnobs_df$UniqueID %in% FN_OOB_ids,
# grep(glb_rsp_var, names(glb_trnobs_df), value=TRUE)])
print(setdiff(names(glb_trnobs_df), names(glb_allobs_df)))## [1] "startprice.predict.All.Interact.X.Train.glmnet"
## [2] "startprice.predict.All.Interact.X.Train.glmnet.err"
## [3] "startprice.predict.All.X.no.rnorm.Train.rf"
## [4] "startprice.predict.All.X.no.rnorm.Train.rf.err"
## [5] "startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart"
## [6] "startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err"
## [7] "startprice.predict.All.Interact.X.no.rnorm.Train.rf"
## [8] "startprice.predict.All.Interact.X.no.rnorm.Train.rf.err"
## [9] "startprice.predict.Low.cor.X.Train.lm"
## [10] "startprice.predict.Low.cor.X.Train.lm.err"
## [11] "startprice.predict.All.X.Train.bayesglm"
## [12] "startprice.predict.All.X.Train.bayesglm.err"
## [13] "startprice.predict.All.X.Train.lm"
## [14] "startprice.predict.All.X.Train.lm.err"
## [15] "startprice.predict.All.X.Train.glm"
## [16] "startprice.predict.All.X.Train.glm.err"
## [17] "startprice.predict.Max.cor.Y.Train.lm"
## [18] "startprice.predict.Max.cor.Y.Train.lm.err"
## [19] "startprice.predict.Interact.High.cor.Y.Train.lm"
## [20] "startprice.predict.Interact.High.cor.Y.Train.lm.err"
## [21] "startprice.predict.All.Interact.X.Train.bayesglm"
## [22] "startprice.predict.All.Interact.X.Train.bayesglm.err"
## [23] "startprice.predict.Max.cor.Y.Train.rpart"
## [24] "startprice.predict.Max.cor.Y.Train.rpart.err"
## [25] "startprice.predict.All.X.no.rnorm.Train.rpart"
## [26] "startprice.predict.All.X.no.rnorm.Train.rpart.err"
## [27] "startprice.predict.All.Interact.X.no.rnorm.Train.rpart"
## [28] "startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err"
## [29] "startprice.predict.Final.glmnet"
## [30] "startprice.predict.Final.glmnet.err"for (col in setdiff(names(glb_trnobs_df), names(glb_allobs_df)))
# Merge or cbind ?
glb_allobs_df[glb_allobs_df$.src == "Train", col] <- glb_trnobs_df[, col]
print(setdiff(names(glb_fitobs_df), names(glb_allobs_df)))## character(0)print(setdiff(names(glb_OOBobs_df), names(glb_allobs_df)))## character(0)for (col in setdiff(names(glb_OOBobs_df), names(glb_allobs_df)))
# Merge or cbind ?
glb_allobs_df[glb_allobs_df$.lcn == "OOB", col] <- glb_OOBobs_df[, col]
print(setdiff(names(glb_newobs_df), names(glb_allobs_df)))## character(0)if (glb_save_envir)
save(glb_feats_df, glb_allobs_df,
#glb_trnobs_df, glb_fitobs_df, glb_OOBobs_df, glb_newobs_df,
glb_models_df, dsp_models_df, glb_models_lst, glb_model_type,
glb_sel_mdl, glb_sel_mdl_id,
glb_fin_mdl, glb_fin_mdl_id,
file=paste0(glb_out_pfx, "dsk.RData"))
replay.petrisim(pn=glb_analytics_pn,
replay.trans=(glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
"data.training.all.prediction","model.final")), flip_coord=TRUE)## time trans "bgn " "fit.data.training.all " "predict.data.new " "end "
## 0.0000 multiple enabled transitions: data.training.all data.new model.selected firing: data.training.all
## 1.0000 1 2 1 0 0
## 1.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction firing: data.new
## 2.0000 2 1 1 1 0
## 2.0000 multiple enabled transitions: data.training.all data.new model.selected model.final data.training.all.prediction data.new.prediction firing: model.selected
## 3.0000 3 0 2 1 0
## 3.0000 multiple enabled transitions: model.final data.training.all.prediction data.new.prediction firing: data.training.all.prediction
## 4.0000 5 0 1 1 1
## 4.0000 multiple enabled transitions: model.final data.training.all.prediction data.new.prediction firing: model.final
## 5.0000 4 0 0 2 1
glb_chunks_df <- myadd_chunk(glb_chunks_df, "predict.data.new", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 15 fit.data.training 8 1 1124.662 1130.286 5.624
## 16 predict.data.new 9 0 1130.286 NA NAStep 9.0: predict data new
# Compute final model predictions
# sp_ only
rsp_var_out <- paste0(glb_rsp_var_out, glb_fin_mdl_id)
tmp_trnobs_df <- glb_get_predictions(glb_trnobs_df, mdl_id=glb_fin_mdl_id,
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=ifelse(glb_is_classification && glb_is_binomial,
glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"], NULL))## geom_smooth: method="auto" and size of largest group is <1000, so using loess. Use 'method = x' to change the smoothing method.
## UniqueID description biddable startprice condition cellular carrier
## 1358 11359 0 595.00 New Unknown Unknown
## 1299 11300 1 650.00 New 1 Unknown
## 1447 11448 0 4.69 New Unknown Unknown
## 1582 11583 0 4.99 New Unknown Unknown
## 1472 11473 0 395.00 New 1 Unknown
## 307 10307 1 250.00 Used 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 1358 Unknown Unknown Unknown Train <NA> 2.2851702 1359
## 1299 Gold 128 iPad Air 2 Train <NA> 1.1631209 1300
## 1447 Unknown Unknown Unknown Train <NA> 3.7446833 1448
## 1582 Unknown Unknown Unknown Train <NA> 0.8677025 1583
## 1472 Unknown 64 iPad mini 2 Train <NA> -0.7441056 1473
## 307 Unknown 64 iPad Air 2 Train <NA> 0.3024315 307
## prdline.my startprice.log descr.my condition.fctr cellular.fctr
## 1358 Unknown 6.388561 New Unknown
## 1299 iPadAir 6.476972 New 1
## 1447 Unknown 1.545433 New Unknown
## 1582 Unknown 1.607436 New Unknown
## 1472 iPadmini 2+ 5.978886 New 1
## 307 iPadAir 5.521461 Used 0
## carrier.fctr color.fctr storage.fctr D.terms.n.post.stop
## 1358 Unknown Unknown Unknown 0
## 1299 Unknown Gold 128 0
## 1447 Unknown Unknown Unknown 0
## 1582 Unknown Unknown Unknown 0
## 1472 Unknown Unknown 64 0
## 307 None Unknown 64 0
## D.terms.n.post.stop.log D.TfIdf.sum.post.stop D.terms.n.post.stem
## 1358 0 0 0
## 1299 0 0 0
## 1447 0 0 0
## 1582 0 0 0
## 1472 0 0 0
## 307 0 0 0
## D.terms.n.post.stem.log D.TfIdf.sum.post.stem
## 1358 0 0
## 1299 0 0
## 1447 0 0
## 1582 0 0
## 1472 0 0
## 307 0 0
## D.terms.n.stem.stop.Ratio D.TfIdf.sum.stem.stop.Ratio D.T.condit
## 1358 1 1 0
## 1299 1 1 0
## 1447 1 1 0
## 1582 1 1 0
## 1472 1 1 0
## 307 1 1 0
## D.T.use D.T.scratch D.T.new D.T.good D.T.screen D.T.great D.T.ipad
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.work D.T.excel D.T.box D.T.function. D.T.item D.T.fulli
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.cosmet D.T.minor D.T.crack D.T.wear D.T.perfect D.T.includ
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.lock D.T.case D.T.icloud D.T.see D.T.light D.T.devic D.T.pleas
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.back D.T.dent D.T.sign D.T.open D.T.will D.T.charger D.T.come
## 1358 0 0 0 0 0 0 0
## 1299 0 0 0 0 0 0 0
## 1447 0 0 0 0 0 0 0
## 1582 0 0 0 0 0 0 0
## 1472 0 0 0 0 0 0 0
## 307 0 0 0 0 0 0 0
## D.T.scuff D.T.corner D.T.broken D.T.descript D.T.unit D.T.show
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.pictur D.T.may D.T.normal D.T.top D.T.accessori D.T.tear
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.previous D.T.contact D.T.refer D.T.problem D.T.non D.T.handset
## 1358 0 0 0 0 0 0
## 1299 0 0 0 0 0 0
## 1447 0 0 0 0 0 0
## 1582 0 0 0 0 0 0
## 1472 0 0 0 0 0 0
## 307 0 0 0 0 0 0
## D.T.least D.nwrds.log D.nwrds.unq.log D.sum.TfIdf
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## 307 0 0 0 0
## D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log D.ndgts.log
## 1358 0 0 0 0
## 1299 0 0 0 0
## 1447 0 0 0 0
## 1582 0 0 0 0
## 1472 0 0 0 0
## 307 0 0 0 0
## D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log D.npnct08.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## 307 0 0 0 0 0
## D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log D.npnct15.log
## 1358 0 0 0 0 0
## 1299 0 0 0 0 0
## 1447 0 0 0 0 0
## 1582 0 0 0 0 0
## 1472 0 0 0 0 0
## 307 0 0 0 0 0
## D.npnct16.log D.npnct24.log D.nstopwrds.log D.ratio.nstopwrds.nwrds
## 1358 0 0 0 1
## 1299 0 0 0 1
## 1447 0 0 0 1
## 1582 0 0 0 1
## 1472 0 0 0 1
## 307 0 0 0 1
## D.P.mini D.P.air D.P.black D.P.white prdline.my.fctr
## 1358 0 0 0 0 Unknown
## 1299 0 0 0 0 iPadAir
## 1447 0 0 0 0 Unknown
## 1582 0 0 0 0 Unknown
## 1472 0 0 0 0 iPadmini 2+
## 307 0 0 0 0 iPadAir
## prdl.my.descr.fctr .clusterid .clusterid.fctr .lcn
## 1358 Unknown#0 1 1 Fit
## 1299 iPadAir#0 1 1 Fit
## 1447 Unknown#0 1 1 Fit
## 1582 Unknown#0 1 1 Fit
## 1472 iPadmini 2+#0 1 1 Fit
## 307 iPadAir#0 1 1 Fit
## startprice.predict.All.Interact.X.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## 307 257.4384
## startprice.predict.All.Interact.X.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## 307 7.4384388
## startprice.predict.All.X.glmnet startprice.predict.All.X.glmnet.err
## 1358 270.3419 324.65809
## 1299 305.6479 344.35207
## 1447 269.4240 264.73405
## 1582 268.0318 263.04178
## 1472 357.7212 37.27882
## 307 235.4314 14.56862
## startprice.predict.All.X.no.rnorm.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## 307 326.5473
## startprice.predict.All.X.no.rnorm.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## 307 76.54728
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart
## 1358 224.5690
## 1299 221.8944
## 1447 224.5690
## 1582 224.5690
## 1472 362.2824
## 307 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart.err
## 1358 370.43095
## 1299 428.10559
## 1447 219.87905
## 1582 219.57905
## 1472 32.71762
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## 307 324.0167
## startprice.predict.All.Interact.X.no.rnorm.rf.err
## 1358 252.99787
## 1299 253.62464
## 1447 177.59542
## 1582 152.38075
## 1472 56.36360
## 307 74.01669
## startprice.predict.Low.cor.X.lm startprice.predict.Low.cor.X.lm.err
## 1358 258.9626 336.03739
## 1299 382.2122 267.78778
## 1447 257.0232 252.33317
## 1582 256.3717 251.38172
## 1472 363.6231 31.37688
## 307 230.3391 19.66085
## startprice.predict.All.X.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## 307 229.1480
## startprice.predict.All.X.bayesglm.err startprice.predict.All.X.lm
## 1358 336.15276 259.1831
## 1299 267.18933 383.0273
## 1447 252.21225 257.1820
## 1582 251.36724 256.5868
## 1472 31.58214 363.6586
## 307 20.85199 229.4942
## startprice.predict.All.X.lm.err startprice.predict.All.X.glm
## 1358 335.81691 259.1831
## 1299 266.97269 383.0273
## 1447 252.49197 257.1820
## 1582 251.59680 256.5868
## 1472 31.34138 363.6586
## 307 20.50576 229.4942
## startprice.predict.All.X.glm.err startprice.predict.Max.cor.Y.lm
## 1358 335.81691 198.8825
## 1299 266.97269 237.2502
## 1447 252.49197 198.8825
## 1582 251.59680 198.8825
## 1472 31.34138 310.0750
## 307 20.50576 237.2502
## startprice.predict.Max.cor.Y.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## 307 12.74983
## startprice.predict.Interact.High.cor.Y.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## 307 235.7130
## startprice.predict.Interact.High.cor.Y.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## 307 14.28699
## startprice.predict.All.Interact.X.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## 307 255.0016
## startprice.predict.All.Interact.X.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## 307 5.001620
## startprice.predict.Max.cor.Y.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.X.no.rnorm.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.All.X.no.rnorm.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 224.4749
## startprice.predict.All.Interact.X.no.rnorm.rpart.err
## 1358 360.50832
## 1299 425.52507
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 25.52507
## startprice.predict.All.Interact.X.Train.glmnet
## 1358 233.6314
## 1299 353.6184
## 1447 236.3185
## 1582 228.2870
## 1472 394.4168
## 307 257.4384
## startprice.predict.All.Interact.X.Train.glmnet.err
## 1358 361.3685642
## 1299 296.3815559
## 1447 231.6284952
## 1582 223.2970019
## 1472 0.5831904
## 307 7.4384388
## startprice.predict.All.X.no.rnorm.Train.rf
## 1358 329.7160
## 1299 400.1281
## 1447 187.6060
## 1582 163.2660
## 1472 458.0555
## 307 326.5473
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 1358 265.28401
## 1299 249.87189
## 1447 182.91602
## 1582 158.27598
## 1472 63.05553
## 307 76.54728
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 1358 342.0021
## 1299 396.3754
## 1447 182.2854
## 1582 157.3707
## 1472 451.3636
## 307 324.0167
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 1358 252.99787
## 1299 253.62464
## 1447 177.59542
## 1582 152.38075
## 1472 56.36360
## 307 74.01669
## startprice.predict.Low.cor.X.Train.lm
## 1358 258.9626
## 1299 382.2122
## 1447 257.0232
## 1582 256.3717
## 1472 363.6231
## 307 230.3391
## startprice.predict.Low.cor.X.Train.lm.err
## 1358 336.03739
## 1299 267.78778
## 1447 252.33317
## 1582 251.38172
## 1472 31.37688
## 307 19.66085
## startprice.predict.All.X.Train.bayesglm
## 1358 258.8472
## 1299 382.8107
## 1447 256.9023
## 1582 256.3572
## 1472 363.4179
## 307 229.1480
## startprice.predict.All.X.Train.bayesglm.err
## 1358 336.15276
## 1299 267.18933
## 1447 252.21225
## 1582 251.36724
## 1472 31.58214
## 307 20.85199
## startprice.predict.All.X.Train.lm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## 307 229.4942
## startprice.predict.All.X.Train.lm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## 307 20.50576
## startprice.predict.All.X.Train.glm
## 1358 259.1831
## 1299 383.0273
## 1447 257.1820
## 1582 256.5868
## 1472 363.6586
## 307 229.4942
## startprice.predict.All.X.Train.glm.err
## 1358 335.81691
## 1299 266.97269
## 1447 252.49197
## 1582 251.59680
## 1472 31.34138
## 307 20.50576
## startprice.predict.Max.cor.Y.Train.lm
## 1358 198.8825
## 1299 237.2502
## 1447 198.8825
## 1582 198.8825
## 1472 310.0750
## 307 237.2502
## startprice.predict.Max.cor.Y.Train.lm.err
## 1358 396.11750
## 1299 412.74983
## 1447 194.19250
## 1582 193.89250
## 1472 84.92502
## 307 12.74983
## startprice.predict.Interact.High.cor.Y.Train.lm
## 1358 202.5649
## 1299 235.7130
## 1447 202.5649
## 1582 202.5649
## 1472 313.5584
## 307 235.7130
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 1358 392.43509
## 1299 414.28699
## 1447 197.87491
## 1582 197.57491
## 1472 81.44156
## 307 14.28699
## startprice.predict.All.Interact.X.Train.bayesglm
## 1358 229.2466
## 1299 402.1242
## 1447 239.1116
## 1582 236.2982
## 1472 393.3706
## 307 255.0016
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 1358 365.753374
## 1299 247.875758
## 1447 234.421640
## 1582 231.308168
## 1472 1.629415
## 307 5.001620
## startprice.predict.Max.cor.Y.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.Max.cor.Y.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 221.8944
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 221.8944
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 1358 360.50832
## 1299 428.10559
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 28.10559
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 1358 234.4917
## 1299 224.4749
## 1447 234.4917
## 1582 234.4917
## 1472 234.4917
## 307 224.4749
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 1358 360.50832
## 1299 425.52507
## 1447 229.80168
## 1582 229.50168
## 1472 160.50832
## 307 25.52507
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 1358 405.5504 189.4496
## 1299 467.1743 182.8257
## 1447 166.6981 162.0081
## 1582 130.4777 125.4877
## 1472 518.5938 123.5938
## 307 373.2108 123.2108tmp_newobs_df <- glb_get_predictions(glb_newobs_df, mdl_id=glb_fin_mdl_id,
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=ifelse(glb_is_classification && glb_is_binomial,
glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"], NULL))## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 2507 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 2507 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 2507 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## 2507 164.20329
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## 2507 565.7867
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1492 136.4294
## 2501 241.7478
## 1487 147.0573
## 2507 140.4967
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## 2507 589.4933
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## 2507 102.22980
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## 2507 627.7602
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1492 324.8121
## 2501 372.1603
## 1487 320.9099
## 2507 285.8527
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1492 405.1779
## 2501 507.8297
## 1487 409.0801
## 2507 444.1373
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1492 324.9076
## 2501 373.7412
## 1487 321.3292
## 2507 284.8738
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1492 405.0824
## 2501 506.2488
## 1487 408.6608
## 2507 445.1162
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## 2507 284.6141
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## 2507 445.3759
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## 2507 284.6141
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## 2507 445.3759
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1492 170.3522
## 2501 237.2502
## 1487 170.3522
## 2507 170.3522
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1492 559.6378
## 2501 642.7398
## 1487 559.6378
## 2507 559.6378
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1492 168.4272
## 2501 235.7130
## 1487 168.4272
## 2507 168.4272
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1492 561.5628
## 2501 644.2770
## 1487 561.5628
## 2507 561.5628
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1492 226.104427
## 2501 458.782085
## 1487 238.615196
## 2507 144.862701
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1492 503.8856
## 2501 421.2079
## 1487 491.3748
## 2507 585.1273
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 74.98766
## 2501 224.47493
## 1487 74.98766
## 2507 74.98766
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 655.0023
## 2501 655.5151
## 1487 655.0023
## 2507 655.0023
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 2623 114.64014 885.3499
## 1396 193.94740 805.0526
## 1492 44.23827 685.7517
## 2501 200.64689 679.3431
## 1487 65.75378 664.2362
## 2507 74.66844 655.3216tmp_allobs_df <- orderBy(~UniqueID,
rbind(tmp_trnobs_df[, c(glb_id_var, glb_rsp_var, rsp_var_out)],
tmp_newobs_df[, c(glb_id_var, glb_rsp_var, rsp_var_out)]))
names(tmp_allobs_df)[3] <- glb_rsp_var_out
write.csv(tmp_allobs_df, paste0(glb_out_pfx, "predict.csv"), row.names=FALSE)
###
glb_newobs_df <- glb_get_predictions(glb_newobs_df, mdl_id=glb_fin_mdl_id,
rsp_var_out=glb_rsp_var_out,
prob_threshold_def=ifelse(glb_is_classification && glb_is_binomial,
glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"], NULL))## geom_smooth: method="auto" and size of largest group is >=1000, so using gam with formula: y ~ s(x, bs = "cs"). Use 'method = x' to change the smoothing method.
## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## 2507 12509
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## 2507 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## 2507 Gold 128 iPad mini 3 Test <NA> 0.58985240 2509
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## 2507 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## 2507
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## 2507 New 0 None Gold
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## 2507 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## 2507 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## 2507 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## 2507 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## 2507 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## 2507 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## 2507 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## 2507 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## 2507 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## 2507 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## 2507 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## 2507 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## 2507 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## 2507 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## 2507 164.20329
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## 2507 565.7867
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1492 136.4294
## 2501 241.7478
## 1487 147.0573
## 2507 140.4967
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## 2507 589.4933
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## 2507 102.22980
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## 2507 627.7602
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1492 324.8121
## 2501 372.1603
## 1487 320.9099
## 2507 285.8527
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1492 405.1779
## 2501 507.8297
## 1487 409.0801
## 2507 444.1373
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1492 324.9076
## 2501 373.7412
## 1487 321.3292
## 2507 284.8738
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1492 405.0824
## 2501 506.2488
## 1487 408.6608
## 2507 445.1162
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## 2507 284.6141
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## 2507 445.3759
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## 2507 284.6141
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## 2507 445.3759
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1492 170.3522
## 2501 237.2502
## 1487 170.3522
## 2507 170.3522
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1492 559.6378
## 2501 642.7398
## 1487 559.6378
## 2507 559.6378
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1492 168.4272
## 2501 235.7130
## 1487 168.4272
## 2507 168.4272
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1492 561.5628
## 2501 644.2770
## 1487 561.5628
## 2507 561.5628
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1492 226.104427
## 2501 458.782085
## 1487 238.615196
## 2507 144.862701
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1492 503.8856
## 2501 421.2079
## 1487 491.3748
## 2507 585.1273
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## 2507 75.03309
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## 2507 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 74.98766
## 2501 224.47493
## 1487 74.98766
## 2507 74.98766
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 655.0023
## 2501 655.5151
## 1487 655.0023
## 2507 655.0023
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 2623 114.64014 885.3499
## 1396 193.94740 805.0526
## 1492 44.23827 685.7517
## 2501 200.64689 679.3431
## 1487 65.75378 664.2362
## 2507 74.66844 655.3216if (glb_is_classification && glb_is_binomial)
glb_analytics_diag_plots(obs_df=glb_newobs_df, mdl_id=glb_fin_mdl_id,
prob_threshold=glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"]) else
glb_analytics_diag_plots(obs_df=glb_newobs_df, mdl_id=glb_fin_mdl_id) ## Warning in glb_analytics_diag_plots(obs_df = glb_newobs_df, mdl_id =
## glb_fin_mdl_id): Limiting important feature scatter plots to 5 out of 29
## UniqueID
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
## description
## 2623 Lot of 10 mixed iPad minis. Colors,models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## biddable startprice condition cellular carrier
## 2623 0 999.99 For parts or not working Unknown Unknown
## 1396 0 999.00 Used 0 None
## 1492 1 729.99 New 0 None
## 2501 1 879.99 New 0 None
## 1487 1 729.99 New 0 None
## color storage productline .src .grpid .rnorm idseq.my
## 2623 White Unknown Unknown Test <NA> -0.09583688 2625
## 1396 Unknown 32 iPad mini Test <NA> 1.29406125 1397
## 1492 White 128 iPad mini 3 Test <NA> -0.09857290 1493
## 2501 Space Gray 128 iPad Air 2 Test <NA> 0.50598604 2503
## 1487 Space Gray 128 iPad mini 3 Test <NA> -0.78872725 1488
## prdline.my startprice.log
## 2623 iPadmini 6.907745
## 1396 iPadmini 6.906755
## 1492 iPadmini 2+ 6.593031
## 2501 iPadAir 6.779911
## 1487 iPadmini 2+ 6.593031
## descr.my
## 2623 Lot of 10 mixed iPad minis. Colors, models & storage capacity vary between each lot. There may be
## 1396
## 1492
## 2501
## 1487
## condition.fctr cellular.fctr carrier.fctr color.fctr
## 2623 For parts or not working Unknown Unknown White
## 1396 Used 0 None Unknown
## 1492 New 0 None White
## 2501 New 0 None Space Gray
## 1487 New 0 None Space Gray
## storage.fctr D.terms.n.post.stop D.terms.n.post.stop.log
## 2623 Unknown 10 2.397895
## 1396 32 0 0.000000
## 1492 128 0 0.000000
## 2501 128 0 0.000000
## 1487 128 0 0.000000
## D.TfIdf.sum.post.stop D.terms.n.post.stem D.terms.n.post.stem.log
## 2623 9.536343 10 2.397895
## 1396 0.000000 0 0.000000
## 1492 0.000000 0 0.000000
## 2501 0.000000 0 0.000000
## 1487 0.000000 0 0.000000
## D.TfIdf.sum.post.stem D.terms.n.stem.stop.Ratio
## 2623 8.670527 1
## 1396 0.000000 1
## 1492 0.000000 1
## 2501 0.000000 1
## 1487 0.000000 1
## D.TfIdf.sum.stem.stop.Ratio D.T.condit D.T.use D.T.scratch D.T.new
## 2623 0.9092088 0 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## D.T.good D.T.screen D.T.great D.T.ipad D.T.work D.T.excel D.T.box
## 2623 0 0 0 0.319782 0 0 0
## 1396 0 0 0 0.000000 0 0 0
## 1492 0 0 0 0.000000 0 0 0
## 2501 0 0 0 0.000000 0 0 0
## 1487 0 0 0 0.000000 0 0 0
## D.T.function. D.T.item D.T.fulli D.T.cosmet D.T.minor D.T.crack
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.wear D.T.perfect D.T.includ D.T.lock D.T.case D.T.icloud D.T.see
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## D.T.light D.T.devic D.T.pleas D.T.back D.T.dent D.T.sign D.T.open
## 2623 0 0 0 0 0 0 0
## 1396 0 0 0 0 0 0 0
## 1492 0 0 0 0 0 0 0
## 2501 0 0 0 0 0 0 0
## 1487 0 0 0 0 0 0 0
## D.T.will D.T.charger D.T.come D.T.scuff D.T.corner D.T.broken
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.descript D.T.unit D.T.show D.T.pictur D.T.may D.T.normal
## 2623 0 0 0 0 0.5570595 0
## 1396 0 0 0 0 0.0000000 0
## 1492 0 0 0 0 0.0000000 0
## 2501 0 0 0 0 0.0000000 0
## 1487 0 0 0 0 0.0000000 0
## D.T.top D.T.accessori D.T.tear D.T.previous D.T.contact D.T.refer
## 2623 0 0 0 0 0 0
## 1396 0 0 0 0 0 0
## 1492 0 0 0 0 0 0
## 2501 0 0 0 0 0 0
## 1487 0 0 0 0 0 0
## D.T.problem D.T.non D.T.handset D.T.least D.nwrds.log D.nwrds.unq.log
## 2623 0 0 0 0 2.944439 2.397895
## 1396 0 0 0 0 0.000000 0.000000
## 1492 0 0 0 0 0.000000 0.000000
## 2501 0 0 0 0 0.000000 0.000000
## 1487 0 0 0 0 0.000000 0.000000
## D.sum.TfIdf D.ratio.sum.TfIdf.nwrds D.nchrs.log D.nuppr.log
## 2623 8.670527 0.4816959 4.634729 4.356709
## 1396 0.000000 0.0000000 0.000000 0.000000
## 1492 0.000000 0.0000000 0.000000 0.000000
## 2501 0.000000 0.0000000 0.000000 0.000000
## 1487 0.000000 0.0000000 0.000000 0.000000
## D.ndgts.log D.npnct01.log D.npnct03.log D.npnct05.log D.npnct06.log
## 2623 1.098612 0 0 0 0.6931472
## 1396 0.000000 0 0 0 0.0000000
## 1492 0.000000 0 0 0 0.0000000
## 2501 0.000000 0 0 0 0.0000000
## 1487 0.000000 0 0 0 0.0000000
## D.npnct08.log D.npnct11.log D.npnct12.log D.npnct13.log D.npnct14.log
## 2623 0 0.6931472 0 1.098612 0
## 1396 0 0.0000000 0 0.000000 0
## 1492 0 0.0000000 0 0.000000 0
## 2501 0 0.0000000 0 0.000000 0
## 1487 0 0.0000000 0 0.000000 0
## D.npnct15.log D.npnct16.log D.npnct24.log D.nstopwrds.log
## 2623 0 0.6931472 0.6931472 1.94591
## 1396 0 0.0000000 0.0000000 0.00000
## 1492 0 0.0000000 0.0000000 0.00000
## 2501 0 0.0000000 0.0000000 0.00000
## 1487 0 0.0000000 0.0000000 0.00000
## D.ratio.nstopwrds.nwrds D.P.mini D.P.air D.P.black D.P.white
## 2623 0.3684211 1 0 0 0
## 1396 1.0000000 0 0 0 0
## 1492 1.0000000 0 0 0 0
## 2501 1.0000000 0 0 0 0
## 1487 1.0000000 0 0 0 0
## prdline.my.fctr prdl.my.descr.fctr .clusterid .clusterid.fctr
## 2623 iPadmini iPadmini#1 3 3
## 1396 iPadmini iPadmini#0 1 1
## 1492 iPadmini 2+ iPadmini 2+#0 1 1
## 2501 iPadAir iPadAir#0 1 1
## 1487 iPadmini 2+ iPadmini 2+#0 1 1
## startprice.predict.All.Interact.X.Train.glmnet
## 2623 87.22845
## 1396 252.56135
## 1492 209.89804
## 2501 411.99213
## 1487 221.84310
## startprice.predict.All.Interact.X.Train.glmnet.err
## 2623 912.7615
## 1396 746.4387
## 1492 520.0920
## 2501 467.9979
## 1487 508.1469
## startprice.predict.All.X.no.rnorm.Train.rf
## 2623 138.1672
## 1396 198.3780
## 1492 136.4294
## 2501 241.7478
## 1487 147.0573
## startprice.predict.All.X.no.rnorm.Train.rf.err
## 2623 861.8228
## 1396 800.6220
## 1492 593.5606
## 2501 638.2422
## 1487 582.9327
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rf
## 2623 138.88925
## 1396 205.75215
## 1492 78.99590
## 2501 229.24957
## 1487 96.32857
## startprice.predict.All.Interact.X.no.rnorm.Train.rf.err
## 2623 861.1008
## 1396 793.2479
## 1492 650.9941
## 2501 650.7404
## 1487 633.6614
## startprice.predict.Low.cor.X.Train.lm
## 2623 178.2272
## 1396 196.5086
## 1492 324.8121
## 2501 372.1603
## 1487 320.9099
## startprice.predict.Low.cor.X.Train.lm.err
## 2623 821.7628
## 1396 802.4914
## 1492 405.1779
## 2501 507.8297
## 1487 409.0801
## startprice.predict.All.X.Train.bayesglm
## 2623 180.2698
## 1396 196.8939
## 1492 324.9076
## 2501 373.7412
## 1487 321.3292
## startprice.predict.All.X.Train.bayesglm.err
## 2623 819.7202
## 1396 802.1061
## 1492 405.0824
## 2501 506.2488
## 1487 408.6608
## startprice.predict.All.X.Train.lm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## startprice.predict.All.X.Train.lm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## startprice.predict.All.X.Train.glm
## 2623 194.6524
## 1396 196.6730
## 1492 325.1984
## 2501 372.9724
## 1487 321.2408
## startprice.predict.All.X.Train.glm.err
## 2623 805.3376
## 1396 802.3270
## 1492 404.7916
## 2501 507.0176
## 1487 408.7492
## startprice.predict.Max.cor.Y.Train.lm
## 2623 191.6324
## 1396 210.0717
## 1492 170.3522
## 2501 237.2502
## 1487 170.3522
## startprice.predict.Max.cor.Y.Train.lm.err
## 2623 808.3576
## 1396 788.9283
## 1492 559.6378
## 2501 642.7398
## 1487 559.6378
## startprice.predict.Interact.High.cor.Y.Train.lm
## 2623 182.6764
## 1396 214.1109
## 1492 168.4272
## 2501 235.7130
## 1487 168.4272
## startprice.predict.Interact.High.cor.Y.Train.lm.err
## 2623 817.3136
## 1396 784.8891
## 1492 561.5628
## 2501 644.2770
## 1487 561.5628
## startprice.predict.All.Interact.X.Train.bayesglm
## 2623 -6.206661
## 1396 252.440722
## 1492 226.104427
## 2501 458.782085
## 1487 238.615196
## startprice.predict.All.Interact.X.Train.bayesglm.err
## 2623 1006.1967
## 1396 746.5593
## 1492 503.8856
## 2501 421.2079
## 1487 491.3748
## startprice.predict.Max.cor.Y.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## startprice.predict.Max.cor.Y.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## startprice.predict.All.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 75.03309
## 2501 221.89441
## 1487 75.03309
## startprice.predict.All.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 654.9569
## 2501 658.0956
## 1487 654.9569
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart
## 2623 234.49168
## 1396 234.49168
## 1492 74.98766
## 2501 224.47493
## 1487 74.98766
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart.err
## 2623 765.4983
## 1396 764.5083
## 1492 655.0023
## 2501 655.5151
## 1487 655.0023
## startprice.predict.Final.glmnet startprice.predict.Final.glmnet.err
## 2623 114.64014 885.3499
## 1396 193.94740 805.0526
## 1492 44.23827 685.7517
## 2501 200.64689 679.3431
## 1487 65.75378 664.2362
## .label
## 2623 12625
## 1396 11397
## 1492 11493
## 2501 12503
## 1487 11488
if (glb_is_classification && glb_is_binomial) {
submit_df <- glb_newobs_df[, c(glb_id_var,
paste0(glb_rsp_var_out, glb_fin_mdl_id, ".prob"))]
names(submit_df)[2] <- "Probability1"
# submit_df <- glb_newobs_df[, c(paste0(glb_rsp_var_out, glb_fin_mdl_id)), FALSE]
# names(submit_df)[1] <- "BDscience"
# submit_df$BDscience <- as.numeric(submit_df$BDscience) - 1
# #submit_df <-rbind(submit_df, data.frame(bdanalytics=c(" ")))
# print("Submission Stats:")
# print(table(submit_df$BDscience, useNA = "ifany"))
glb_force_prediction_lst <- list()
glb_force_prediction_lst[["0"]] <- c(11885, 11907, 11943,
12050, 12115, 12171,
12253, 12285, 12367, 12388, 12399,
12585)
for (obs_id in glb_force_prediction_lst[["0"]]) {
if (is.na(glb_allobs_df[glb_allobs_df[, glb_id_var] == obs_id, ".grpid"]))
stop(".grpid is NA")
submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] <-
max(0, submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] - 0.5)
}
rsp_var_out <- paste0(glb_rsp_var_out, glb_fin_mdl_id)
for (obs_id in glb_newobs_df[!is.na(glb_newobs_df[, rsp_var_out]) &
(glb_newobs_df[, rsp_var_out] == "Y") &
(glb_newobs_df[ , "startprice"] > 675), "UniqueID"])
submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] <-
max(0, submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] - 0.5)
glb_force_prediction_lst[["1"]] <- c(11871, 11875, 11886,
11913, 11931, 11937, 11967, 11990, 11991, 11994, 11999,
12000, 12002, 12018, 12021, 12065, 12072,
12111, 12114, 12126, 12152, 12172,
12213, 12214, 12233, 12265, 12278, 12299,
12446, 12491,
12505, 12576, 12608, 12630)
for (obs_id in glb_force_prediction_lst[["1"]]) {
if (is.na(glb_allobs_df[glb_allobs_df[, glb_id_var] == obs_id, ".grpid"]))
stop(".grpid is NA")
submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] <-
min(0.9999, submit_df[submit_df[, glb_id_var] == obs_id, "Probability1"] + 0.5)
}
} else submit_df <- glb_newobs_df[, c(glb_id_var,
paste0(glb_rsp_var_out, glb_fin_mdl_id))]
if (glb_is_classification) {
rsp_var_out <- paste0(glb_rsp_var_out, glb_fin_mdl_id)
tmp_newobs_df <- subset(glb_newobs_df[, c(glb_id_var, ".grpid", rsp_var_out)],
!is.na(.grpid))
tmp_newobs_df <- merge(tmp_newobs_df, dupgrps_df, by=".grpid", all.x=TRUE)
tmp_newobs_df <- merge(tmp_newobs_df, submit_df, by=glb_id_var, all.x = TRUE)
tmp_newobs_df$.err <-
((tmp_newobs_df$Probability1 > 0.5) & (tmp_newobs_df$sold.0 > 0) |
(tmp_newobs_df$Probability1 < 0.5) & (tmp_newobs_df$sold.1 > 0))
tmp_newobs_df <- orderBy(~UniqueID, subset(tmp_newobs_df, .err == TRUE))
print("Prediction errors in duplicates:")
print(tmp_newobs_df)
if (nrow(tmp_newobs_df) > 0)
stop("check Prediction errors in duplicates")
#print(dupobs_df[dupobs_df$.grpid == 26, ])
tmp_newobs_df <- cbind(glb_newobs_df, submit_df[, "Probability1", FALSE])
if (max(glb_newobs_df[!is.na(glb_newobs_df[, rsp_var_out]) &
(tmp_newobs_df[, "Probability1"] >= 0.5), "startprice"]) >
max(glb_allobs_df[!is.na(glb_allobs_df[, glb_rsp_var]) &
(glb_allobs_df[, glb_rsp_var] == "Y"), "startprice"]))
stop("startprice for some +ve predictions > 675")
}
submit_fname <- paste0(gsub(".", "_", paste0(glb_out_pfx, glb_fin_mdl_id), fixed=TRUE),
"_submit.csv")
write.csv(submit_df, submit_fname, quote=FALSE, row.names=FALSE)
#cat(" ", "\n", file=submit_fn, append=TRUE)
# print(orderBy(~ -max.auc.OOB, glb_models_df[, c("model_id",
# "max.auc.OOB", "max.Accuracy.OOB")]))
for (txt_var in glb_txt_vars) {
# Print post-stem-words but need post-stop-words for debugging ?
print(sprintf(" All post-stem-words TfIDf terms for %s:", txt_var))
myprint_df(glb_post_stem_words_terms_df_lst[[txt_var]])
TfIdf_mtrx <- glb_post_stem_words_TfIdf_mtrx_lst[[txt_var]]
print(glb_allobs_df[
which(TfIdf_mtrx[, tail(glb_post_stem_words_terms_df_lst[[txt_var]], 1)$pos] > 0),
c(glb_id_var, glb_txt_vars)])
print(nrow(subset(glb_post_stem_words_terms_df_lst[[txt_var]], freq == 1)))
#print(glb_allobs_df[which(TfIdf_mtrx[, 207] > 0), c(glb_id_var, glb_txt_vars)])
#unlist(strsplit(glb_allobs_df[2157, "description"], ""))
#glb_allobs_df[2442, c(glb_id_var, glb_txt_vars)]
#TfIdf_mtrx[2442, TfIdf_mtrx[2442, ] > 0]
print(sprintf(" Top_n post_stem_words TfIDf terms for %s:", txt_var))
tmp_df <- glb_post_stem_words_terms_df_lst[[txt_var]]
top_n_vctr <- tmp_df$term[1:glb_txt_top_n[[txt_var]]]
tmp_freq1_df <- subset(tmp_df, freq == 1)
tmp_freq1_df$top_n <- grepl(paste0(top_n_vctr, collapse="|"), tmp_freq1_df$term)
print(subset(tmp_freq1_df, top_n == TRUE))
}## [1] " All post-stem-words TfIDf terms for descr.my:"
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## condit 207.7156 condit 499 137 -0.0418798096 0.0418798096 82.38883
## use 144.7700 use 291 709 0.0103720246 0.0103720246 51.46753
## scratch 126.4831 scratch 286 565 -0.0088060862 0.0088060862 49.35848
## new 124.1683 new 156 429 -0.0372353149 0.0372353149 50.77429
## good 120.3335 good 197 281 -0.0004368629 0.0004368629 44.58392
## screen 105.7897 screen 213 566 0.0232373651 0.0232373651 36.89203
## TfIdf.1 TfIdf.NA
## condit 56.35056 68.97623
## use 47.66515 45.63736
## scratch 40.20165 36.92302
## new 30.11628 43.27771
## good 38.21866 37.53088
## screen 37.92265 30.97500
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## ipad 103.4710744 ipad 232 330 -0.017734875 0.017734875 40.2218250
## gentl 9.2875603 gentl 10 272 0.008204744 0.008204744 2.3489825
## parti 2.3056850 parti 2 466 -0.030449175 0.030449175 2.3056850
## total 1.6250832 total 1 685 0.025004068 0.025004068 0.0000000
## result 1.0341439 result 1 550 0.025004068 0.025004068 0.0000000
## dust 0.8750448 dust 1 204 -0.021525023 0.021525023 0.8750448
## TfIdf.1 TfIdf.NA
## ipad 30.590892 32.658357
## gentl 2.716510 4.222067
## parti 0.000000 0.000000
## total 1.625083 0.000000
## result 1.034144 0.000000
## dust 0.000000 0.000000
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## red 0.8125416 red 1 532 NA NA 0.0000000
## version 0.8125416 version 1 716 -0.02152502 0.02152502 0.8125416
## adaptor 0.7583722 adaptor 1 31 0.02500407 0.02500407 0.0000000
## divid 0.7583722 divid 1 194 0.02500407 0.02500407 0.0000000
## grey 0.7583722 grey 1 286 0.02500407 0.02500407 0.0000000
## hdmi 0.7583722 hdmi 1 297 0.02500407 0.02500407 0.0000000
## TfIdf.1 TfIdf.NA
## red 0.0000000 0.8125416
## version 0.0000000 0.0000000
## adaptor 0.7583722 0.0000000
## divid 0.7583722 0.0000000
## grey 0.7583722 0.0000000
## hdmi 0.7583722 0.0000000
## UniqueID
## 114 10114
## descr.my
## 114 comes with: grey ipad divider case, white stylus, Apple USB wall charger and USB cord. HDMI adaptor
## [1] 285
## [1] " Top_n post_stem_words TfIDf terms for descr.my:"
## TfIdf term freq pos cor.y cor.y.abs TfIdf.0
## appli 2.843896 appli 1 54 0.02500407 0.02500407 0.000000
## showroom 1.895930 showroom 1 592 NA NA 0.000000
## backlit 1.625083 backlit 1 68 -0.02152502 0.02152502 1.625083
## paperwork 1.421948 paperwork 1 464 NA NA 0.000000
## seen 1.421948 seen 1 575 -0.02152502 0.02152502 1.421948
## backlight 1.263954 backlight 1 67 0.02500407 0.02500407 0.000000
## seem 1.137558 seem 1 574 NA NA 0.000000
## TfIdf.1 TfIdf.NA top_n
## appli 2.843896 0.000000 TRUE
## showroom 0.000000 1.895930 TRUE
## backlit 0.000000 0.000000 TRUE
## paperwork 0.000000 1.421948 TRUE
## seen 0.000000 0.000000 TRUE
## backlight 1.263954 0.000000 TRUE
## seem 0.000000 1.137558 TRUEif (glb_is_classification && glb_is_binomial)
print(glb_models_df[glb_models_df$model_id == glb_sel_mdl_id,
"opt.prob.threshold.OOB"])
print(sprintf("glb_sel_mdl_id: %s", glb_sel_mdl_id))## [1] "glb_sel_mdl_id: Ensemble.glmnet"print(sprintf("glb_fin_mdl_id: %s", glb_fin_mdl_id))## [1] "glb_fin_mdl_id: Final.glmnet"print(dim(glb_fitobs_df))## [1] 860 142print(dsp_models_df)## model_id min.RMSE.fit max.R.sq.fit
## 17 All.Interact.X.glmnet 87.30181 0.725929471
## 11 All.X.glmnet 89.07544 0.598412545
## 13 All.X.no.rnorm.rf 90.36456 0.888838007
## 3 Max.cor.Y.cv.0.cp.0.rpart 91.06155 0.517128889
## 19 All.Interact.X.no.rnorm.rf 91.32816 0.898708804
## 7 Low.cor.X.lm 91.44190 0.613856764
## 10 All.X.bayesglm 91.62821 0.621789429
## 8 All.X.lm 92.08259 0.622169124
## 9 All.X.glm 92.08259 0.622169124
## 5 Max.cor.Y.lm 95.53887 0.487126356
## 6 Interact.High.cor.Y.lm 95.59187 0.493470372
## 16 All.Interact.X.bayesglm 99.70935 0.757535048
## 4 Max.cor.Y.rpart 107.52547 0.318168008
## 12 All.X.no.rnorm.rpart 107.52547 0.318168008
## 18 All.Interact.X.no.rnorm.rpart 107.88969 0.320176474
## 1 MFO.lm 130.91239 0.002018099
## 2 Max.cor.Y.cv.0.rpart 131.04468 0.000000000
## 14 All.Interact.X.lm 140.35207 0.758876716
## 15 All.Interact.X.glm 140.35207 0.758876716
## max.Adj.R.sq.fit
## 17 NA
## 11 NA
## 13 NA
## 3 NA
## 19 NA
## 7 0.5742014897
## 10 NA
## 8 0.5774001010
## 9 NA
## 5 0.4786290410
## 6 0.4801565707
## 16 NA
## 4 NA
## 12 NA
## 18 NA
## 1 0.0008549497
## 2 NA
## 14 0.6340549455
## 15 NAif (glb_is_regression) {
print(sprintf("%s OOB RMSE: %0.4f", glb_sel_mdl_id,
glb_models_df[glb_models_df$model_id == glb_sel_mdl_id, "min.RMSE.OOB"]))
if (!is.null(glb_category_var)) {
tmp_OOBobs_df <- glb_OOBobs_df[, c(glb_category_var, glb_rsp_var,
predct_error_var_name)]
names(tmp_OOBobs_df)[length(names(tmp_OOBobs_df))] <- "error.abs.OOB"
sOOB_ctgry_df <- dplyr::group_by_(tmp_OOBobs_df, glb_category_var)
sOOB_ctgry_df <- dplyr::count(sOOB_ctgry_df,
startprice.OOB.sum = sum(startprice),
err.abs.OOB.sum = sum(error.abs.OOB),
err.abs.OOB.mean = mean(error.abs.OOB))
names(sOOB_ctgry_df)[4] <- ".n.OOB"
sOOB_ctgry_df <- dplyr::ungroup(sOOB_ctgry_df)
#intersect(names(glb_ctgry_df), names(sOOB_ctgry_df))
glb_ctgry_df <- merge(glb_ctgry_df, sOOB_ctgry_df, all=TRUE)
print(orderBy(~-err.abs.OOB.mean, glb_ctgry_df))
}
if ((glb_rsp_var %in% names(glb_newobs_df)) &&
!(any(is.na(glb_newobs_df[, glb_rsp_var])))) {
pred_stats_df <-
mypredict_mdl(mdl=glb_models_lst[[glb_fin_mdl_id]],
df=glb_newobs_df,
rsp_var=glb_rsp_var,
rsp_var_out=glb_rsp_var_out,
model_id_method=glb_fin_mdl_id,
label="new",
model_summaryFunction=glb_sel_mdl$control$summaryFunction,
model_metric=glb_sel_mdl$metric,
model_metric_maximize=glb_sel_mdl$maximize,
ret_type="stats")
print(sprintf("%s prediction stats for glb_newobs_df:", glb_fin_mdl_id))
print(pred_stats_df)
}
}## [1] "Ensemble.glmnet OOB RMSE: 136.9693"
## .n.OOB prdl.my.descr.fctr .n.Tst .freqRatio.Tst .freqRatio.OOB
## 18 213 iPadAir#0 213 0.11853088 0.11853088
## 7 117 Unknown#0 117 0.06510851 0.06510851
## 9 117 iPad 3+#0 117 0.06510851 0.06510851
## 13 159 iPadmini 2+#0 159 0.08848080 0.08848080
## 15 159 iPadmini#0 159 0.08848080 0.08848080
## 10 127 iPadAir#1 127 0.07067334 0.07067334
## 1 60 iPadmini 2+#1 60 0.03338898 0.03338898
## 6 117 Unknown#0 117 0.06510851 0.06510851
## 8 117 iPad 3+#0 117 0.06510851 0.06510851
## 2 88 Unknown#1 88 0.04897051 0.04897051
## 17 172 iPad 3+#1 172 0.09571508 0.09571508
## 5 101 iPadmini#1 101 0.05620479 0.05620479
## 14 159 iPadmini 2+#0 159 0.08848080 0.08848080
## 16 159 iPadmini#0 159 0.08848080 0.08848080
## 12 155 iPad 2#1 155 0.08625487 0.08625487
## 11 140 iPad 2#0 140 0.07790762 0.07790762
## 4 99 iPad 1#0 99 0.05509182 0.05509182
## 3 90 iPad 1#1 90 0.05008347 0.05008347
## startprice.OOB.sum err.abs.OOB.sum err.abs.OOB.mean
## 18 97298.83 31086.563 145.94631
## 7 26973.14 15648.389 133.74691
## 9 26973.14 15648.389 133.74691
## 13 56660.02 19055.473 119.84574
## 15 56660.02 19055.473 119.84574
## 10 46466.30 14938.371 117.62496
## 1 16594.00 6864.721 114.41202
## 6 29727.53 12856.110 109.88128
## 8 29727.53 12856.110 109.88128
## 2 14716.37 8648.036 98.27313
## 17 43741.82 13678.785 79.52782
## 5 18602.17 7769.804 76.92875
## 14 32170.49 12038.656 75.71482
## 16 32170.49 12038.656 75.71482
## 12 26220.10 11174.238 72.09186
## 11 21145.86 8132.496 58.08926
## 4 10444.25 4850.533 48.99528
## 3 9018.62 4026.281 44.73645
## [1] "Final.glmnet prediction stats for glb_newobs_df:"
## model_id max.R.sq.new min.RMSE.new
## 1 Final.glmnet 0.5826098 137.5716if (glb_is_classification) {
print(sprintf("%s OOB confusion matrix & accuracy: ", glb_sel_mdl_id))
print(t(confusionMatrix(glb_OOBobs_df[, paste0(glb_rsp_var_out, glb_sel_mdl_id)],
glb_OOBobs_df[, glb_rsp_var])$table))
if (!is.null(glb_category_var)) {
tmp_OOBobs_df <- glb_OOBobs_df[, c(glb_category_var, predct_accurate_var_name)]
names(tmp_OOBobs_df)[length(names(tmp_OOBobs_df))] <- "accurate.OOB"
aOOB_ctgry_df <- mycreate_xtab_df(tmp_OOBobs_df, names(tmp_OOBobs_df))
aOOB_ctgry_df[is.na(aOOB_ctgry_df)] <- 0
aOOB_ctgry_df <- mutate(aOOB_ctgry_df,
.n.OOB = accurate.OOB.FALSE + accurate.OOB.TRUE,
max.accuracy.OOB = accurate.OOB.TRUE / .n.OOB)
#intersect(names(glb_ctgry_df), names(aOOB_ctgry_df))
glb_ctgry_df <- merge(glb_ctgry_df, aOOB_ctgry_df, all=TRUE)
print(orderBy(~-accurate.OOB.FALSE, glb_ctgry_df))
print(glb_OOBobs_df[(glb_OOBobs_df$prdline.my == "iPadAir") &
!(glb_OOBobs_df[, predct_accurate_var_name]),
c(glb_id_var, glb_rsp_var_raw,
#"description"
"biddable", "startprice", "condition"
)])
}
if ((glb_rsp_var %in% names(glb_newobs_df)) &&
!(any(is.na(glb_newobs_df[, glb_rsp_var])))) {
print(sprintf("%s new confusion matrix & accuracy: ", glb_fin_mdl_id))
print(t(confusionMatrix(glb_newobs_df[, paste0(glb_rsp_var_out, glb_fin_mdl_id)],
glb_newobs_df[, glb_rsp_var])$table))
}
}
dsp_myCategory_conf_mtrx <- function(myCategory) {
print(sprintf("%s OOB::myCategory=%s confusion matrix & accuracy: ",
glb_sel_mdl_id, myCategory))
print(t(confusionMatrix(
glb_OOBobs_df[glb_OOBobs_df$myCategory == myCategory,
paste0(glb_rsp_var_out, glb_sel_mdl_id)],
glb_OOBobs_df[glb_OOBobs_df$myCategory == myCategory, glb_rsp_var])$table))
print(sum(glb_OOBobs_df[glb_OOBobs_df$myCategory == myCategory,
predct_accurate_var_name]) /
nrow(glb_OOBobs_df[glb_OOBobs_df$myCategory == myCategory, ]))
err_ids <- glb_OOBobs_df[(glb_OOBobs_df$myCategory == myCategory) &
(!glb_OOBobs_df[, predct_accurate_var_name]), glb_id_var]
OOB_FNerr_df <- glb_OOBobs_df[(glb_OOBobs_df$UniqueID %in% err_ids) &
(glb_OOBobs_df$Popular == 1),
c(
".clusterid",
"Popular", "Headline", "Snippet", "Abstract")]
print(sprintf("%s OOB::myCategory=%s FN errors: %d", glb_sel_mdl_id, myCategory,
nrow(OOB_FNerr_df)))
print(OOB_FNerr_df)
OOB_FPerr_df <- glb_OOBobs_df[(glb_OOBobs_df$UniqueID %in% err_ids) &
(glb_OOBobs_df$Popular == 0),
c(
".clusterid",
"Popular", "Headline", "Snippet", "Abstract")]
print(sprintf("%s OOB::myCategory=%s FP errors: %d", glb_sel_mdl_id, myCategory,
nrow(OOB_FPerr_df)))
print(OOB_FPerr_df)
}
#dsp_myCategory_conf_mtrx(myCategory="OpEd#Opinion#")
#dsp_myCategory_conf_mtrx(myCategory="Business#Business Day#Dealbook")
#dsp_myCategory_conf_mtrx(myCategory="##")
# if (glb_is_classification) {
# print("FN_OOB_ids:")
# print(glb_OOBobs_df[glb_OOBobs_df$UniqueID %in% FN_OOB_ids,
# grep(glb_rsp_var, names(glb_OOBobs_df), value=TRUE)])
# print(glb_OOBobs_df[glb_OOBobs_df$UniqueID %in% FN_OOB_ids,
# glb_txt_vars])
# print(dsp_vctr <- colSums(glb_OOBobs_df[glb_OOBobs_df$UniqueID %in% FN_OOB_ids,
# setdiff(grep("[HSA].", names(glb_OOBobs_df), value=TRUE),
# union(myfind_chr_cols_df(glb_OOBobs_df),
# grep(".fctr", names(glb_OOBobs_df), fixed=TRUE, value=TRUE)))]))
# }
dsp_hdlpfx_results <- function(hdlpfx) {
print(hdlpfx)
print(glb_OOBobs_df[glb_OOBobs_df$Headline.pfx %in% c(hdlpfx),
grep(glb_rsp_var, names(glb_OOBobs_df), value=TRUE)])
print(glb_newobs_df[glb_newobs_df$Headline.pfx %in% c(hdlpfx),
grep(glb_rsp_var, names(glb_newobs_df), value=TRUE)])
print(dsp_vctr <- colSums(glb_newobs_df[glb_newobs_df$Headline.pfx %in% c(hdlpfx),
setdiff(grep("[HSA]\\.", names(glb_newobs_df), value=TRUE),
union(myfind_chr_cols_df(glb_newobs_df),
grep(".fctr", names(glb_newobs_df), fixed=TRUE, value=TRUE)))]))
print(dsp_vctr <- dsp_vctr[dsp_vctr != 0])
print(glb_newobs_df[glb_newobs_df$Headline.pfx %in% c(hdlpfx),
union(names(dsp_vctr), myfind_chr_cols_df(glb_newobs_df))])
}
#dsp_hdlpfx_results(hdlpfx="Ask Well::")
# print("myMisc::|OpEd|blank|blank|1:")
# print(glb_OOBobs_df[glb_OOBobs_df$UniqueID %in% c(6446),
# grep(glb_rsp_var, names(glb_OOBobs_df), value=TRUE)])
# print(glb_OOBobs_df[glb_OOBobs_df$UniqueID %in% FN_OOB_ids,
# c("WordCount", "WordCount.log", "myMultimedia",
# "NewsDesk", "SectionName", "SubsectionName")])
# print(mycreate_sqlxtab_df(glb_allobs_df[sel_obs(Headline.contains="[Vv]ideo"), ],
# c(glb_rsp_var, "myMultimedia")))
# dsp_chisq.test(Headline.contains="[Vi]deo")
# print(glb_allobs_df[sel_obs(Headline.contains="[Vv]ideo"),
# c(glb_rsp_var, "Popular", "myMultimedia", "Headline")])
# print(glb_allobs_df[sel_obs(Headline.contains="[Ee]bola", Popular=1),
# c(glb_rsp_var, "Popular", "myMultimedia", "Headline",
# "NewsDesk", "SectionName", "SubsectionName")])
# print(subset(glb_feats_df, !is.na(importance))[,
# c("is.ConditionalX.y",
# grep("importance", names(glb_feats_df), fixed=TRUE, value=TRUE))])
# print(subset(glb_feats_df, is.ConditionalX.y & is.na(importance))[,
# c("is.ConditionalX.y",
# grep("importance", names(glb_feats_df), fixed=TRUE, value=TRUE))])
# print(subset(glb_feats_df, !is.na(importance))[,
# c("zeroVar", "nzv", "myNearZV",
# grep("importance", names(glb_feats_df), fixed=TRUE, value=TRUE))])
# print(subset(glb_feats_df, is.na(importance))[,
# c("zeroVar", "nzv", "myNearZV",
# grep("importance", names(glb_feats_df), fixed=TRUE, value=TRUE))])
print(orderBy(as.formula(paste0("~ -", glb_sel_mdl_id, ".importance")), glb_featsimp_df))## Ensemble.glmnet.importance
## startprice.predict.All.Interact.X.no.rnorm.rf 100.000000
## startprice.predict.All.X.no.rnorm.rf 82.877850
## startprice.predict.Low.cor.X.lm 42.664383
## startprice.predict.All.Interact.X.bayesglm 39.446441
## startprice.predict.Max.cor.Y.lm 36.631963
## startprice.predict.All.X.bayesglm 31.728064
## startprice.predict.All.Interact.X.no.rnorm.rpart 31.242314
## startprice.predict.Interact.High.cor.Y.lm 30.732133
## startprice.predict.All.X.glm 30.721941
## startprice.predict.All.X.lm 30.721941
## startprice.predict.All.X.no.rnorm.rpart 30.715802
## startprice.predict.Max.cor.Y.rpart 30.490635
## startprice.predict.All.Interact.X.glmnet 13.298938
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart 5.581228
## startprice.predict.All.X.glmnet 0.000000
## startprice.predict.All.Interact.X.no.rnorm.Train.rf NA
## startprice.predict.All.X.no.rnorm.Train.rf NA
## startprice.predict.All.Interact.X.Train.bayesglm NA
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart NA
## startprice.predict.All.X.Train.bayesglm NA
## startprice.predict.All.X.Train.glm NA
## startprice.predict.All.X.Train.lm NA
## startprice.predict.All.X.no.rnorm.Train.rpart NA
## startprice.predict.Max.cor.Y.Train.rpart NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart NA
## startprice.predict.Low.cor.X.Train.lm NA
## startprice.predict.Interact.High.cor.Y.Train.lm NA
## startprice.predict.Max.cor.Y.Train.lm NA
## startprice.predict.All.Interact.X.Train.glmnet NA
## importance
## startprice.predict.All.Interact.X.no.rnorm.rf NA
## startprice.predict.All.X.no.rnorm.rf NA
## startprice.predict.Low.cor.X.lm NA
## startprice.predict.All.Interact.X.bayesglm NA
## startprice.predict.Max.cor.Y.lm NA
## startprice.predict.All.X.bayesglm NA
## startprice.predict.All.Interact.X.no.rnorm.rpart NA
## startprice.predict.Interact.High.cor.Y.lm NA
## startprice.predict.All.X.glm NA
## startprice.predict.All.X.lm NA
## startprice.predict.All.X.no.rnorm.rpart NA
## startprice.predict.Max.cor.Y.rpart NA
## startprice.predict.All.Interact.X.glmnet NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart NA
## startprice.predict.All.X.glmnet NA
## startprice.predict.All.Interact.X.no.rnorm.Train.rf 100.00000
## startprice.predict.All.X.no.rnorm.Train.rf 68.43206
## startprice.predict.All.Interact.X.Train.bayesglm 39.24931
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart 28.78947
## startprice.predict.All.X.Train.bayesglm 26.33895
## startprice.predict.All.X.Train.glm 26.33895
## startprice.predict.All.X.Train.lm 26.33895
## startprice.predict.All.X.no.rnorm.Train.rpart 26.31986
## startprice.predict.Max.cor.Y.Train.rpart 26.10228
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart 24.79107
## startprice.predict.Low.cor.X.Train.lm 20.81876
## startprice.predict.Interact.High.cor.Y.Train.lm 20.53568
## startprice.predict.Max.cor.Y.Train.lm 10.57604
## startprice.predict.All.Interact.X.Train.glmnet 0.00000
## Final.glmnet.importance
## startprice.predict.All.Interact.X.no.rnorm.rf NA
## startprice.predict.All.X.no.rnorm.rf NA
## startprice.predict.Low.cor.X.lm NA
## startprice.predict.All.Interact.X.bayesglm NA
## startprice.predict.Max.cor.Y.lm NA
## startprice.predict.All.X.bayesglm NA
## startprice.predict.All.Interact.X.no.rnorm.rpart NA
## startprice.predict.Interact.High.cor.Y.lm NA
## startprice.predict.All.X.glm NA
## startprice.predict.All.X.lm NA
## startprice.predict.All.X.no.rnorm.rpart NA
## startprice.predict.Max.cor.Y.rpart NA
## startprice.predict.All.Interact.X.glmnet NA
## startprice.predict.Max.cor.Y.cv.0.cp.0.rpart NA
## startprice.predict.All.X.glmnet NA
## startprice.predict.All.Interact.X.no.rnorm.Train.rf 100.00000
## startprice.predict.All.X.no.rnorm.Train.rf 68.43206
## startprice.predict.All.Interact.X.Train.bayesglm 39.24931
## startprice.predict.All.Interact.X.no.rnorm.Train.rpart 28.78947
## startprice.predict.All.X.Train.bayesglm 26.33895
## startprice.predict.All.X.Train.glm 26.33895
## startprice.predict.All.X.Train.lm 26.33895
## startprice.predict.All.X.no.rnorm.Train.rpart 26.31986
## startprice.predict.Max.cor.Y.Train.rpart 26.10228
## startprice.predict.Max.cor.Y.cv.0.cp.0.Train.rpart 24.79107
## startprice.predict.Low.cor.X.Train.lm 20.81876
## startprice.predict.Interact.High.cor.Y.Train.lm 20.53568
## startprice.predict.Max.cor.Y.Train.lm 10.57604
## startprice.predict.All.Interact.X.Train.glmnet 0.00000print("glb_newobs_df prediction stats:")## [1] "glb_newobs_df prediction stats:"print(myplot_histogram(glb_newobs_df, paste0(glb_rsp_var_out, glb_fin_mdl_id)))## stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
if (glb_is_classification)
print(table(glb_newobs_df[, paste0(glb_rsp_var_out, glb_fin_mdl_id)]))
# players_df <- data.frame(id=c("Chavez", "Giambi", "Menechino", "Myers", "Pena"),
# OBP=c(0.338, 0.391, 0.369, 0.313, 0.361),
# SLG=c(0.540, 0.450, 0.374, 0.447, 0.500),
# cost=c(1400000, 1065000, 295000, 800000, 300000))
# players_df$RS.predict <- predict(glb_models_lst[[csm_mdl_id]], players_df)
# print(orderBy(~ -RS.predict, players_df))
if (length(diff <- setdiff(names(glb_trnobs_df), names(glb_allobs_df))) > 0)
print(diff)
for (col in setdiff(names(glb_trnobs_df), names(glb_allobs_df)))
# Merge or cbind ?
glb_allobs_df[glb_allobs_df$.src == "Train", col] <- glb_trnobs_df[, col]
if (length(diff <- setdiff(names(glb_fitobs_df), names(glb_allobs_df))) > 0)
print(diff)
if (length(diff <- setdiff(names(glb_OOBobs_df), names(glb_allobs_df))) > 0)
print(diff)
for (col in setdiff(names(glb_OOBobs_df), names(glb_allobs_df)))
# Merge or cbind ?
glb_allobs_df[glb_allobs_df$.lcn == "OOB", col] <- glb_OOBobs_df[, col]
if (length(diff <- setdiff(names(glb_newobs_df), names(glb_allobs_df))) > 0)
print(diff)
if (glb_save_envir)
save(glb_feats_df, glb_allobs_df,
#glb_trnobs_df, glb_fitobs_df, glb_OOBobs_df, glb_newobs_df,
glb_models_df, dsp_models_df, glb_models_lst, glb_model_type,
glb_sel_mdl, glb_sel_mdl_id,
glb_fin_mdl, glb_fin_mdl_id,
file=paste0(glb_out_pfx, "prdnew_dsk.RData"))
rm(submit_df, tmp_OOBobs_df)
# tmp_replay_lst <- replay.petrisim(pn=glb_analytics_pn,
# replay.trans=(glb_analytics_avl_objs <- c(glb_analytics_avl_objs,
# "data.new.prediction")), flip_coord=TRUE)
# print(ggplot.petrinet(tmp_replay_lst[["pn"]]) + coord_flip())
glb_chunks_df <- myadd_chunk(glb_chunks_df, "display.session.info", major.inc=TRUE)## label step_major step_minor bgn end elapsed
## 16 predict.data.new 9 0 1130.286 1149.168 18.882
## 17 display.session.info 10 0 1149.168 NA NANull Hypothesis (\(\sf{H_{0}}\)): mpg is not impacted by am_fctr.
The variance by am_fctr appears to be independent. #{r q1, cache=FALSE} # print(t.test(subset(cars_df, am_fctr == "automatic")$mpg, # subset(cars_df, am_fctr == "manual")$mpg, # var.equal=FALSE)$conf) # We reject the null hypothesis i.e. we have evidence to conclude that am_fctr impacts mpg (95% confidence). Manual transmission is better for miles per gallon versus automatic transmission.
## label step_major step_minor bgn end elapsed
## 14 fit.data.training 8 0 622.377 1124.661 502.284
## 11 fit.models 7 1 81.476 564.230 482.754
## 12 fit.models 7 2 564.230 608.707 44.477
## 5 extract.features 3 0 15.394 52.355 36.962
## 16 predict.data.new 9 0 1130.286 1149.168 18.882
## 10 fit.models 7 0 64.603 81.476 16.873
## 13 fit.models 7 3 608.708 622.376 13.669
## 7 manage.missing.data 4 1 54.051 59.751 5.700
## 15 fit.data.training 8 1 1124.662 1130.286 5.624
## 8 select.features 5 0 59.751 63.992 4.241
## 1 import.data 1 0 8.797 12.069 3.272
## 2 inspect.data 2 0 12.070 14.152 2.082
## 6 cluster.data 4 0 52.356 54.050 1.694
## 3 scrub.data 2 1 14.152 14.797 0.645
## 9 partition.data.training 6 0 63.993 64.603 0.610
## 4 transform.data 2 2 14.797 15.393 0.596
## duration
## 14 502.284
## 11 482.754
## 12 44.477
## 5 36.961
## 16 18.882
## 10 16.873
## 13 13.668
## 7 5.700
## 15 5.624
## 8 4.241
## 1 3.272
## 2 2.082
## 6 1.694
## 3 0.645
## 9 0.610
## 4 0.596
## [1] "Total Elapsed Time: 1,149.168 secs"
## label step_major step_minor bgn end elapsed
## 13 fit.models_1_rf 13 0 262.015 564.222 302.207
## 7 fit.models_1_rf 7 0 104.212 190.908 86.697
## 10 fit.models_1_bayesglm 10 0 202.327 244.430 42.103
## 11 fit.models_1_glmnet 11 0 244.430 255.466 11.036
## 12 fit.models_1_rpart 12 0 255.466 262.015 6.549
## 9 fit.models_1_glm 9 0 196.307 202.326 6.019
## 8 fit.models_1_lm 8 0 190.909 196.307 5.398
## 4 fit.models_1_bayesglm 4 0 90.535 95.733 5.198
## 5 fit.models_1_glmnet 5 0 95.734 100.024 4.291
## 6 fit.models_1_rpart 6 0 100.025 104.211 4.186
## 3 fit.models_1_glm 3 0 87.272 90.534 3.262
## 2 fit.models_1_lm 2 0 84.136 87.271 3.135
## 1 fit.models_1_bgn 1 0 84.127 84.135 0.008
## duration
## 13 302.207
## 7 86.696
## 10 42.103
## 11 11.036
## 12 6.549
## 9 6.019
## 8 5.398
## 4 5.198
## 5 4.290
## 6 4.186
## 3 3.262
## 2 3.135
## 1 0.008
## [1] "Total Elapsed Time: 564.222 secs"
## R version 3.2.1 (2015-06-18)
## Platform: x86_64-apple-darwin13.4.0 (64-bit)
## Running under: OS X 10.10.4 (Yosemite)
##
## locale:
## [1] C/en_US.UTF-8/C/C/C/en_US.UTF-8
##
## attached base packages:
## [1] tcltk grid parallel stats graphics grDevices utils
## [8] datasets methods base
##
## other attached packages:
## [1] randomForest_4.6-10 glmnet_2.0-2 arm_1.8-6
## [4] lme4_1.1-8 Matrix_1.2-2 MASS_7.3-43
## [7] rpart.plot_1.5.2 rpart_4.1-10 entropy_1.2.1
## [10] dynamicTreeCut_1.62 proxy_0.4-15 tidyr_0.2.0
## [13] reshape2_1.4.1 sqldf_0.4-10 RSQLite_1.0.0
## [16] DBI_0.3.1 tm_0.6-2 NLP_0.1-8
## [19] stringr_1.0.0 gsubfn_0.6-6 proto_0.3-10
## [22] mgcv_1.8-7 nlme_3.1-121 dplyr_0.4.2
## [25] plyr_1.8.3 gdata_2.17.0 doMC_1.3.3
## [28] iterators_1.0.7 foreach_1.4.2 doBy_4.5-13
## [31] survival_2.38-3 caret_6.0-52 ggplot2_1.0.1
## [34] lattice_0.20-33
##
## loaded via a namespace (and not attached):
## [1] Rcpp_0.12.0 gtools_3.5.0 assertthat_0.1
## [4] digest_0.6.8 slam_0.1-32 R6_2.1.0
## [7] BradleyTerry2_1.0-6 chron_2.3-47 stats4_3.2.1
## [10] coda_0.17-1 evaluate_0.7 lazyeval_0.1.10
## [13] minqa_1.2.4 SparseM_1.6 car_2.0-25
## [16] nloptr_1.0.4 rmarkdown_0.7 labeling_0.3
## [19] splines_3.2.1 munsell_0.4.2 compiler_3.2.1
## [22] htmltools_0.2.6 nnet_7.3-10 codetools_0.2-14
## [25] brglm_0.5-9 gtable_0.1.2 magrittr_1.5
## [28] formatR_1.2 scales_0.2.5 stringi_0.5-5
## [31] RColorBrewer_1.1-2 tools_3.2.1 abind_1.4-3
## [34] pbkrtest_0.4-2 yaml_2.1.13 colorspace_1.2-6
## [37] knitr_1.10.5 quantreg_5.11